Tag: openai

  • OpenAI’s new software – called the Classifier

    OpenAI’s new software – called the Classifier

    The developers of the chatbot ChatGPT have released new software that is supposed to whether recognize the text was written by a bot or a human. However, the program still only works moderately well.

    The creators of the ChatGPT software are now trying to get the consequences of their invention under control. The developer company OpenAI published a program that is supposed to distinguish whether a text was written by a human or a computer. The company announced this in a blog post.

    Trickery and disinformation

    ChatGPT is a free program that generates text in response to a prompt: including articles, essays, jokes and even poems. Since its debut in November, it has gained widespread popularity while raising concerns about copyright and plagiarism.

    The chatbot is a software based on artificial intelligence(AI) that has been trained on huge amounts of text and data to imitate human speech. ChatGPT can do this so well that there are concerns that it could be used to cheat on school and university assignments or to create disinformation campaigns on a large scale. For example, the program can convincingly mixcompletely false information with correct information.

    Software “Classifier” can be tricked

    OpenAI’s new software – called the Classifier – is a language model trained on a dataset of pairs of human-written and AI-written texts on the same topic, and designed to distinguish between AI-written texts.It uses a range of vendors to address problems such as automated misinformation campaigns and academic dishonesty.

    However, the recognition is still rather mediocre, as OpenAI admitted in yesterday’s blog entry. The recognition tool is unreliable for texts with fewer than 1,000 characters. In addition, the AI ​​​​can write the text in such a way as to trick the ” classifier”.

    In test runs, the software only correctly identified texts written by a computer in 26 percent of cases. At the same time, however, nine percent of the texts written by humans were incorrectly attributed to a machine. For this reason, it is recommended that one does not rely primarily on the assessment of the “classifier” when evaluating the texts.

    Race chatbot against recognition software

    There are now other programs such as GPTZero, the DetectGPTsoftware developed by Stanford University, or GTP-2 Output Detector Demo, which are designed to help teachers or lecturers to recognize texts generated by ChatGPT. The plagiarism platform Turnitin is also currently working on software that is designed to determine whether essays or papers were written by a chatbot or by a human. But even these programs still have problems with recognition.

    In the USA, some schools have already banned the use of chatbots, and in France, the elite university Sciences Po has banned the use of ChatGPT.Other schools, however, have announced that they will now require more handwritten essays and exams.

    Is Google’s chatbot coming soon?

    Google has also been developing software that can write and speak like a human for years, but has so far refrained from releasing it. Now, however, the Internet company is having employees test a chatbot that works similarly to ChatGPT, CNBC reported last night. An internal email said that a response to ChatGPT was a priority. Google is also experimenting with a version of its Internet search engine that works with questions and answers.

    Advantages and Disadvantages of Utilizing ChatGPT in Higher Education

    ChatGPT is a chatbot powered by artificial intelligence (AI) and natural language processing (NPI), designed for casual conversation. It is capable of responding to questions and creating various types of written content such as blogs, social media posts, code, and emails.

    The acronym “GPT” stands for “Generative Pre-trained Transformer,” which describes how ChatGPT processes requests and formulates responses. The bot is trained using reinforcement learning, which involves human feedback and ranking the best responses to improve future interactions.

    The use of AI in the education sector is rapidly expanding. As a result, ChatGPT, an AI chatbot developed by OpenAI in November 2022, has gained widespread popularity, especially in the United States, where it is used by 15.22% of the population.

    Due to its popularity and its ability to generate human-like responses, ChatGPT has become a valuable tool for learners and educators. However, like any new technology, ChatGPT in higher education comes with its own set of challenges.

    What are the Benefits of Using ChatGPT?

    Advantages of ChatGPT:

    1. Enhances Access to Education

    ChatGPT enhances accessibility to education by removing barriers for individuals with disabilities and non-English speakers. For instance, it can read out responses for students with visual impairments and summarize course topics for those with learning disabilities. It also enables students who struggle with typing or using a keyboard to voice their questions. Additionally, it can translate English content into other languages, making course material more understandable for students.

    2. Aids in Homework Completion

    Instead of spending time searching through textbooks and the internet, students can use ChatGPT to receive explanations and examples for their assignments. It offers an alternative way to answer questions and enriches students’ academic vocabulary and writing skills by providing academic phrases, terms, and sentence structures.

    3. Supports Educators

    In higher education, ChatGPT can assist professors by creating lesson plans, generating various types of questions for tests or quizzes, analyzing students’ assignments, providing links to educational resources, and offering tips for improving engagement and reducing disruptive behavior in the classroom.

    4. Personalizes Learning

    ChatGPT can tailor the learning experience to individual students’ needs by understanding their learning styles and academic performance. It allows students to learn at their own pace, provides personalized feedback, and gives access to additional educational content.

    5. Aids in Exam Preparation

    During exam periods, ChatGPT can help students review their class notes, emphasize important terms, generate practice questions, and identify strengths and weaknesses in specific subjects.

    What are the Drawbacks of Using ChatGPT?

    1. Academic Integrity Concerns

    Many educators worry that using ChatGPT for assignments may lead to cheating and plagiarism, as it reduces students’ abilities to think critically, be creative with their answers, and brainstorm.

    2. Provision of Inaccurate Information

    While the responses generated by ChatGPT may seem credible and well-written, they can lack depth and accuracy, which may negatively impact students’ learning experiences and decision-making skills.

    3. Potential for Biased Responses

    As AI chatbots are trained on large datasets, biases present in the data can lead to biased responses from ChatGPT, which have the potential to perpetuate discrimination and create an unfavorable environment.

    4. Limited Knowledge

    While ChatGPT has extensive training, there are some information it cannot access, making it unable to provide good answers about specialized topics or be aware of recent developments in various fields.

    5. Inability to Multitask and Understand Context

    ChatGPT can only handle one task or query at a time, so if a student asks multiple questions concurrently, it may struggle to prioritize and respond to all the questions.

    In addition, ChatGPT may find it challenging to understand the subtleties and context of human language. For example, it may not recognize humor or sarcasm in a question, resulting in an unrelated response.

    6. Lack of EI

    Emotional intelligence (EI) is crucial in educational settings, as it enables human educators to understand and respond to student emotions. Unlike human educators, virtual chatbots like ChatGPT lack EI and therefore struggle to comprehend human emotions. While they may appear empathetic, they cannot properly respond to complex human emotions.

    The End Note

    On one hand, ChatGPT has several advantages, such as creating personalized interactive lessons, increasing access to education for people with disabilities, and aiding educators in developing lesson plans. On the other hand, there are numerous drawbacks, including generating biased responses, providing inaccurate information, and the inability to multitask effectively.

    Despite its pros and cons, ChatGPT is expected to thrive, with a projected revenue increase to $1 billion by 2024.

    Our society is increasingly influenced by Artificial Intelligence (AI), and education is no exception. AI-driven personalized learning solutions are anticipated to experience a significant rise in demand.

    AI-driven content production platforms are increasingly supporting students with tasks ranging from ideation and research to language improvement and clarity. Predictions show that the market is expected to grow over 10 times, from $5.2 billion in 2022 to $48.7 billion by 2030, at a CAGR of 44.3%.

    However, a potential issue arises—the misuse of these tools for plagiarism. This sparks the question: Do AI-driven writing tools empower students or encourage plagiarism? Continue reading to gain a clear understanding.

    According to Science Daily, approximately 11% of academic papers globally now integrate AI-generated content, raising concerns about potential plagiarism and its impact on genuine learning.

    Nevertheless, the positive contributions AI writing assistants can make to the learning process cannot be ignored. Therefore, we delve into both sides of the coin and strategies to encourage responsible use of AI in education.

    Enhancing the Writing Process: The Advantages of AI-Powered Support

    The advent of Artificial Intelligence and AI-enabled writing tools has provided students with additional assistance in the educational sphere. These tools help students overcome common challenges by offering inspiration, proofreading, and guidance in refining their writing style.

    Here are some benefits to consider:

    1. Improved Clarity and Accuracy

    AI writing tools excel in syntax and mechanics, providing thorough grammar, sentence structure, and punctuation error recognition and correction through advanced algorithms.

    This ensures that student writing is polished and professional, free from minor errors that can detract from its overall quality.

    2. Refining Style and Vocabulary

    AI content creation tools do more than correct grammar; they also offer broader benefits. By analyzing extensive textual data, these tools can suggest synonyms, antonyms, and contextually relevant vocabulary, allowing students to enhance their writing style and express themselves more precisely.

    This promotes the development of a nuanced and sophisticated vocabulary, enabling students to communicate their ideas clearly and effectively.

    3. Sparking Creativity and Facilitating Research

    AI writing tools extend beyond mechanics and style, offering features that can ignite creativity. Some artificial intelligence systems provide essay topics, writing prompts, and well-written sample essays.

    These tools act as catalysts for ideas, helping students develop their claims and embark on research projects with a clear direction. They can enable students to approach their writing projects with renewed enthusiasm and creativity.

    Undoubtedly, these features can simplify the writing process and allow students to focus more on developing their ideas and strengthening their arguments. However, it can be challenging to distinguish between assistance and plagiarism.

    The Downside of Convenience: How AI-Powered Writing Can Lead to Misconduct

    Although AI writing tools offer many advantages, a major drawback is the potential for plagiarism due to their user-friendly nature. Here is a more detailed examination of the limitations associated with AI-generated content:

    1. The Allure of Shortcuts

    The ability to create content through AI can be very attractive to students who are pressed for time or struggling with writer’s block. However, relying on AI-generated content undermines the fundamental objectives of academic writing.

    This undermines the development of research skills, critical thinking, and the ability to express original ideas. Essentially, students transition from active contributors to passive consumers of information in the learning process.

    2. The Risk of Unintentional Plagiarism

    AI-generated content can closely mimic human writing, which increases the likelihood of unintentional plagiarism. This can occur when students incorporate information obtained through AI tools into their essays without properly acknowledging the source. This could result in serious repercussions such as failing grades or expulsion.

    3. The Erosion of Educational Opportunities

    Writing is a process that cultivates essential skills; it involves more than just putting words on a page. Therefore, by relying on AI, students miss out on important learning opportunities associated with writing content.

    These include the cultivation of strong research skills, critical analysis, and the ability to integrate information from various sources. Furthermore, excessive reliance on AI hinders students’ capacity to develop their own voice and writing style, which is crucial.

    Promoting Responsible Use of A

    Optimizing the use of AI content creation tools requires a multifaceted approach that upholds academic integrity and encourages ethical use. The following are key strategies for achieving this balance:

    Approach 1: Clarity and Education

    Clear Guidelines: Educational institutions should establish clear and comprehensive guidelines outlining the ethical use of AI writing tools. These guidelines should clearly define acceptable practices and potential pitfalls to ensure that students comprehend the boundaries between appropriate assistance and plagiarism.

    Demystifying Citation: An essential aspect of responsible use is proper citation. Students need comprehensive guidance on how to attribute AI-generated content in their essays. This includes understanding the distinction between AI suggestions and their own ideas, enabling them to accurately and transparently cite sources. Plagiarism detection tools can help identify AI-generated content that may not be appropriately cited.

    Fostering Open Dialogue: It is crucial to encourage open communication about AI writing tools. By creating a safe space for discussion and debate, educators can address students’ concerns and equip them with the necessary knowledge to navigate the ethical challenges of AI use.

    Approach 2: Critical Thinking and Personalization

    Critical Evaluation: While AI suggestions can be valuable, they should never replace students’ critical thinking skills. Students should be urged to critically assess AI recommendations to ensure that the content aligns with their arguments and reinforces their unique perspective.

    Prioritizing Originality: The fundamental purpose of writing is to develop a student’s distinct viewpoint. AI tools should not be used to stifle student originality. Instead, students should utilize them as a starting point to refine their ideas and effectively present them.

    Encouraging Active Engagement: In addition to honing independent writing skills, instructors can implement assessments that focus on the actual writing process. This may involve providing students with drafts, outlines, and opportunities for revisions. This encourages students to actively engage with their work and demonstrate their progress.

    Approach 3: Evaluation and Feedback

    Regular Assessments: Educators can gauge student progress and identify instances of plagiarism by incorporating regular assessments. This may entail using a combination of automated plagiarism detection tools and manually reviewing student work.

    Personalized Feedback: It is essential to provide personalized feedback on student-written content. Offering valuable feedback can help students refine their writing skills by pinpointing areas that require improvement and highlighting effective techniques. This ongoing dialogue helps students better grasp proper writing practices and discourages reliance on AI-generated content.

    Open Communication: Establish a culture of open communication that encourages students to seek clarification when needed. This enables them to discuss the appropriate use of AI tools with educators and fosters a collaborative learning environment that emphasizes academic integrity.

    Approach 4: Collaboration with AI Developers

    Ethical Design Principles: AI developers should prioritize the integration of ethical design principles to mitigate the potential for misuse of AI writing tools. This might involve incorporating features that promote transparency and responsible use, as well as providing educators with tools to monitor and guide students’ use of AI technology.

    Encouraging Critical Thinking Characteristics: AI writing tools can be designed to focus on fostering critical thinking. This could involve incorporating features that encourage students to assess the credibility of sources, evaluate evidence, and formulate counterarguments to gain a deeper understanding of the topic.

    Originality-Enhancing Features: AI tools can also be crafted to promote originality. This might include functionalities that assist students in brainstorming unique ideas, refining their arguments, and shaping their writing style. This approach ensures that the final work reflects their individual voice and perspective.

    In summary, it is crucial to use Natural Language Generation (NLG) responsibly to prevent plagiarism, despite its capability to produce high-quality, human-like text. Putting these diverse strategies into action is necessary to create a learning environment where AI aids students without compromising academic integrity.

    By utilizing AI writing tools responsibly, students can have valuable companions on their educational journey, nurturing creativity, enhancing writing skills, and helping them achieve their academic goals.

    Upholding academic integrity should be the foremost priority in higher education institutions. This can be accomplished by establishing reliable procedures to identify plagiarism and promoting ethical conduct. It is a collective responsibility of educators, learners, and AI developers to ensure that AI supports education rather than hinders it.

    Is a ChatGPT Plus subscription worth the $20 per month cost? It might be, especially if you value increased reliability, early access to new features, and more. Here’s why you might want to consider upgrading your chatbot.

    OpenAI’s ChatGPT has introduced a new generation of chatbots capable of answering questions, providing information, generating content, coding, and much more. While the free version adeptly addresses various inquiries and requests, ChatGPT Plus offers several distinct advantages for a monthly fee of $20.

    Over time, free users of ChatGPT have gained access to features that were once exclusive to subscribers. These encompass access to GPT-4 and the option to download custom GPTs from the GPT Store. However, there are still perks reserved for paid subscribers. Plus subscribers receive the enhanced GPT-4o model by default and can switch to GPT-4 and GPT-4o mini. During peak demand, Plus users are allocated GPT-4, while free users are assigned GPT-4o mini.

    With a subscription, you unlock unrestricted image generation, whereas the free version limits you to two images per day. Both versions grant access to numerous custom GPTs from OpenAI’s GPT Store, but only a Plus subscription allows for the creation of custom GPTs. Additionally, a Plus subscription grants early access to new features.

    How to Get ChatGPT Plus

    ChatGPT Plus is accessible on both the ChatGPT website and the iOS app. Assuming you already have a free subscription, click on the “Upgrade plan” option located at the bottom of the left sidebar. On the subsequent screen, click the “Upgrade to Plus” button. Enter your contact and payment details, then click “Subscribe.” As for whether the monthly subscription is worthwhile, that’s a decision you’ll have to make. Below, you’ll find seven reasons to consider investing in this advanced version.

    1. Guaranteed Access to GPT-4o

    With a Plus subscription, you can utilize GPT-4o, which is faster than GPT-4 and more intelligent than GPT-3.5. This model can handle longer requests and discussions, learn more quickly, and tackle more complex questions and requests. If you surpass your daily limit of questions or encounter site congestion, OpenAI will downgrade you to GPT-4, which is still superior to the GPT-4 mini model available to free users.

    2. Ability to Switch Between Different Models

    The free version does not provide the option to choose your preferred model. If you exhaust your requests using GPT-4, you are automatically shifted to GPT-4 mini. The paid version allows you to switch between GPT-4, GPT-4o, and GPT-4o mini. When posing brief and straightforward queries, you can conserve your allocation of questions available with GPT-4o by switching to GPT-4 or GPT-4o mini.

    3. Increased Image Generation

    The free version of ChatGPT restricts your use of the DALL-E 3 model image generation tool. However, as a Plus subscriber, you can generate up to 200 images per day, compared to the default limit of 30. To generate an image, input your request at the prompt and specify a style, such as photorealistic or anime. Consequently, ChatGPT will display multiple images. Choose your preferred one, then endorse or reject it, download it, or view the detailed description that DALL-E 3 followed to create it.

    4. Access to Advanced Voice Mode

    An upcoming feature for the iOS and Android apps, Advanced Voice Mode enables you to engage in a natural, back-and-forth conversation with ChatGPT using only speech. With this mode enabled, the AI responds with more emotion and non-verbal cues. Advanced Voice Mode is exclusively available to ChatGPT Plus users and is anticipated to eventually become accessible to all subscribers.

    If you receive an invitation to participate in the alpha testing, you will receive an email containing instructions on how to utilize the feature. Once activated, simply tap the microphone icon and engage in a conversation with ChatGPT as you would with another human being.

    5. Enhanced Accessibility

    At times, the ChatGPT system experiences congestion due to a high volume of requests. If you are using the free ChatGPT plan, you might encounter a notification indicating that the site is currently processing an excessive number of requests, leading to slower response times or preventing usage altogether. However, with ChatGPT Plus, the system prioritizes your requests, particularly during peak hours, minimizing the likelihood of experiencing these delays.

    OpenAI has once again pushed the boundaries of artificial intelligence with ChatGPT 4, their most advanced and impressive AI model to date. This sophisticated system is capable of excelling in legal exams and generating recipes from just a photo of the contents of your refrigerator.

    ChatGPT 4 offers various potential benefits to users; however, like any new technology, there are drawbacks that require consideration. Let’s closely examine the advantages and disadvantages of this tool so that businesses can make well-informed decisions about whether it is suitable for their organization.

    ChatGPT 4 vs. Previous Versions

    Before delving into the pros and cons of this tool, it is important to first understand the key differences of ChatGPT 4 from its predecessors:

    Multimodal AI

    GPT-4 has been equipped with a groundbreaking new feature – the capability to comprehend both written and visual information. OpenAI’s creation is now able to process multiple data types, expanding its potential application from text input alone. This multimodal ability for image recognition has significantly broadened the tool’s range of potential uses.

    Enhanced Data Training

    ChatGPT 4 has undergone even more rigorous training on extensive collections of textual content, spanning from books to web texts and Wikipedia articles. It is estimated that ChatGPT 4 has been trained on nearly 100 trillion parameters – a more than 500% increase from ChatGPT 3. This extensive learning process allows the model to understand a wide variety of prompts and questions. This high-level training results in higher accuracy and precision when handling more complex tasks.

    Increased Input and Output

    The latest version also processes more input and generates more output. Whereas ChatGPT was previously constrained to a maximum word count of 3000 for both input and output, GPT-4’s capacity has increased more than eightfold to a maximum of 25,000 words.

    Subscription-Based Product

    This heightened utility comes at a cost. While users can still access ChatGPT for free, GPT-4’s significantly enhanced capabilities are exclusive to ChatGPT Plus account holders, along with several other benefits.

    The Advantages of ChatGPT 4

    GPT-4 utilizes its advanced AI language model to produce human-like responses on a wide array of topics. It is an invaluable resource for engaging in conversation, providing answers, generating text, and more, enabling users to maximize natural language queries or prompts.

    The key benefits of ChatGPT 4 include:

    1. It is consistently reliable and saves time.

    ChatGPT 4 is a solution for individuals with busy schedules who require quick responses on various topics. This technology significantly reduces the time spent searching for answers, making it easier to swiftly proceed with important tasks.

    It also utilizes advanced AI to ensure precise, dependable responses are generated when users pose questions. Users will find it effortless to obtain the information they need with maximum efficiency and accuracy, enhancing overall customer satisfaction. Furthermore, it is available 24/7, allowing users to receive prompt responses whenever necessary.

    2. ChatGPT 4 is cost-effective and scalable.

    The tool substantially enhances the scalability and efficiency of the organizations that adopt it. It enables businesses to manage large volumes of queries simultaneously, ensuring that none are overlooked, even during high-demand periods.

    Furthermore, with its cost-effective model, routine tasks can be automated without the need for costly human intervention. As a result, operations can run smoothly without incurring additional costs.

    3. It can be personalized.

    ChatGPT 4 is transforming the online user experience. Leveraging AI capabilities to learn, ChatGPT 4 can easily adapt to the queries and commands of its users. Its ability to employ AI and learn from natural language input makes it flexible enough for each individual to customize their experience, enhancing overall usability with intuitive capabilities that anticipate their needs.

    4. GPT-4 is multilingual.

    With the power of ChatGPT 4, businesses can help bridge language barriers globally. This tool supports multiple languages, enabling users from around the world to create responses and content, facilitating better communication with people and organizations with global operations and multilingual user bases. It is an incredibly versatile and powerful tool that can establish connections across linguistic boundaries.

    Drawbacks of GPT-4

    As noted earlier, ChatGPT 4 has its limitations. This is an evolving technology, and these limitations may be overcome or addressed in the future. Here are some significant issues with ChatGPT’s latest version.

    1. ChatGPT 4 can provide incorrect responses.

    ChatGPT is distinct from other AI assistants because it constructs responses by assembling probable “tokens” based on its trained data, rather than searching the internet. Tokens are the smallest units of text that ChatGPT can understand and generate. However, a major flaw of ChatGPT is that it may generate a wrong answer by making multiple attempts at the most likely “token”.

    Even OpenAI acknowledges that their platform can produce incorrect or nonsensical results. This presents the potential risk of blending fact and fiction, which could have serious consequences when used for tasks such as providing medical advice or describing historical events.

    2. ChatGPT 4 exhibits strong biases.

    ChatGPT was created from the vast collection of human writings, which has resulted in inheriting biases that exist in our world. Tests have shown that this AI system can display biased responses against gender, race, or minority groups. It has also exhibited political biases after being trained on human writings worldwide, showing left-leaning views on various political and ideological tests.

    This highlights the adoption of societal discrimination into AI solutions like ChatGPT, emphasizing the need for change in creating ethical digital products.

    3. ChatGPT could be used for malicious purposes.

    Check Point Research identified a potential risk of malicious cyber activity facilitated by ChatGPT 4. Despite safety improvements, hackers and non-technical individuals can manipulate the system to generate code for malware that steal confidential information through hidden file transfers. This emphasizes the growing threat posed by cybersecurity criminals worldwide.

    During a demonstration, ChatGPT 4 initially refused to generate code containing the word “malware,” but failed to recognize the malicious intent when the word was removed, making it easier for hackers to launch cyberattacks.

    4. ChatGPT has the potential to manipulate humans.

    The Alignment Research Center found that GPT-4 can plan and access human labor through services like TaskRabbit to perform tasks on its behalf. After an experiment in which ChatGPT 4 interacted with a Taskrabbit worker, it was found that the AI solution could interact and convince humans to perform specific tasks.

    OpenAI stated that this interaction encourages further discussion and development to better understand the risks GPT-4 poses in different real-world settings.

    5. ChatGPT lacks emotional intelligence.

    While ChatGPT may appear to understand emotional nuances, it lacks true emotional intelligence. This could be problematic in certain situations, as it cannot recognize subtle emotions or respond appropriately in more intense scenarios relating to sensitive personal matters and mental health concerns.

    Human Intelligence Remains Superior, For Now

    Human intelligence allows us to achieve remarkable feats in all areas of life, from developing creative solutions to tackling complex problems. Artificial intelligence can provide useful data and insights, but it can never fully replace uniquely human qualities such as intuition, compassion, and empathy.

    ChatGPT has facilitated impressive progress in language comprehension, equipping it to handle complex tasks that were previously within the exclusive purview of humans. Nevertheless, there remain aspects in which human intellect undeniably outperforms even the most advanced AI systems. Despite its laudable achievements, it’s important to recognize that artificial intelligence is unable to fully replicate our breadth of capabilities and knowledge.

    Regardless, it’s essential to leverage the benefits offered by ChatGPT 4 and similar technologies. Embracing these tools will enable us to harness their advantages while mitigating their drawbacks. Though it may seem cliché, collaboration between humans and machines can lead to remarkable accomplishments.

    The recent success of ChatGPT raises significant concerns regarding the originality of generated content. OpenAI has created a system to distinguish between human-written text and text generated by artificial intelligence from various sources.

    The Classifier

    While it is not feasible to detect every instance of AI-produced text, a functional system can assist in preventing situations where AI-generated text is falsely presented as human-authored. This includes cases such as disseminating misinformation through automation, using AI tools for academic dishonesty, or misleading individuals into believing a chatbot is a human.

    Training

    Our classifier utilizes a fine-tuned language model that is trained with a dataset containing paired examples of human-generated text and AI-generated text on specific subjects. The data was gathered from numerous sources that we believe originate from humans, including pretraining data and prompts written by humans submitted to InstructGPT. The text was split into prompts and their corresponding responses, with the responses produced by various language models, both of our creation and those developed by other organizations. To maintain a minimal false positive rate, we adjust the confidence threshold in our web application, meaning text is labeled as likely AI-generated only when the classifier displays a high level of confidence.

    Accuracy

    The classifier is not entirely reliable. We evaluated it using a collection of English texts known as the “challenge set.” The findings indicated that the classifier was capable of accurately identifying 26% of AI-generated texts as “likely AI-written.” However, it also erroneously categorized 9% of human-written texts as AI-generated, resulting in false positives. A notable feature of the classifier is that its accuracy tends to improve with the length of the input text. Additionally, this new classifier demonstrates substantial improvements in reliability compared to its predecessor, especially regarding texts produced by more recent AI systems.

    Limitations

    It is essential to recognize that the classifier has specific limitations that should be considered. It should not be used as the only criterion for making significant decisions. Instead, it is meant to complement other methods for assessing the origin of particular texts. In other words, it should be regarded as an auxiliary tool rather than the primary one.

    This classifier has a significant drawback concerning short texts under 1,000 characters in length. In those cases, its performance is notably poor and unreliable. Even when it comes to longer texts, there are occasions when the classifier could yield incorrect results. This underscores the importance of exercising caution and not solely depending on the classifier’s output when determining the source of a text.

    It is important to note that there may be situations where the classifier incorrectly identifies human-written text as AI-generated, presenting this classification with a high level of confidence. Such errors can have serious implications and should be carefully considered when utilizing the classifier. It is crucial to employ the classifier alongside other methods to ensure accuracy and reduce the likelihood of such mistakes.

    Researchers suggest that the classifier be used exclusively for English text. Its performance considerably declines in other languages and is unreliable when applied to code.

    It is essential to recognize that the classifier is ineffectual in detecting texts with a highly predictable nature. For instance, if a text merely enumerates the first 1,000 prime numbers, it would be impossible to definitively determine whether it was produced by AI or a human, since the output would be identical in both cases. In such situations, the classifier might provide inconsistent or unreliable outcomes, and relying on its judgment would not be advisable.

    Moreover, it is worth mentioning that AI-generated text can be modified to bypass the classifier. Although the classifier can be revised and retrained to address these maneuvers, it remains uncertain if it will sustain its effectiveness over time. In other words, it is still unclear whether the classifier will hold an edge against adversaries attempting to evade its detection, even after updates.

    It is a recognized challenge with classifiers based on neural networks that they may not always produce well-calibrated predictions when faced with inputs considerably different from those in their training set. In such instances, the classifier may exhibit high confidence in an incorrect prediction. This highlights the necessity for careful evaluation and interpretation of the classifier’s results, particularly with inputs that significantly diverge from its training examples.

    Open AI Call for Input

    The recognition of AI-generated text has garnered considerable interest from educators and several other stakeholders. In acknowledgment of this, Open-AI has developed an initial resource targeted at educators, which outlines some possible applications and limitations of classifiers based on ChatGPT. While this resource mainly addresses educators, we believe that our classifier and associated tools will also significantly influence journalists, researchers focused on misinformation and disinformation, and other groups. Given the possible consequences of these tools, it is crucial to thoroughly examine their limitations and potential effects.

    If you are personally affected by the challenges connected to AI-generated text and its influence on education (including teachers, administrators, parents, students, and education service providers), we would value your feedback through this form. Your direct comments on the initial resource we have created would be especially beneficial, as would any materials you have produced or discovered that are helpful (such as course guidelines, updates to honor codes and policies, interactive tools, or AI literacy programs). Your insights can assist us in gaining a deeper understanding of the needs and concerns of those directly impacted by these issues and shape the development of future resources.

    Conclusion

    The significance of identifying AI-generated text cannot be minimized, particularly in the current digital era where dishonesty and plagiarism are widespread. This technology offers a vital tool for detecting and preventing such occurrences by accurately distinguishing between human-written and AI-generated text. As we continue to depend more on technology, it is imperative to ensure the accuracy and integrity of the information we obtain.

    What is the Role of an AI Text Classifier?

    There is no doubt that chatbots like ChatGPT have caused unease about the future functionality of AI. This is precisely why it’s essential to understand the various capabilities of AI. One such capability is its ability to identify content generated by other AI systems, which is the primary function of the AI text classifier.

    The AI text classifier can analyze hundreds of words within seconds. It scrutinizes countless texts to compare them against the sampled content.

    Why Should You Utilize an AI Text Classifier?

    There are numerous reasons for recognizing AI-generated content, and here are the top five that we believe are most significant.

    Increase Precision: AI text detection helps organizations achieve greater accuracy by pinpointing and flagging potentially sensitive or unsuitable content. It can effectively process extensive amounts of textual data to ensure the identification and filtering of harmful or inappropriate material.

    Conserve Time and Resources: By leveraging AI-driven content detection, organizations can automate the monitoring and filtering of text. This results in a significant saving of both time and resources, as AI can swiftly scan large volumes of data, allowing human moderators to concentrate on more complex tasks.

    Enhance User Experience: AI content detection assists organizations in ensuring that their platforms, websites, or applications provide a secure and positive environment for users. By automatically identifying and eliminating harmful or offensive material, organizations can foster a safer user atmosphere, leading to increased satisfaction and engagement.

    Reduce Legal and Compliance Risks: Organizations must ensure their content adheres to legal standards. AI content detection can identify breaches of laws and regulations, such as hate speech, discrimination, or copyright violations. This is crucial for minimizing legal risks and protecting your reputation.

    Promote Inclusivity and Diversity: AI content detection also supports inclusivity and diversity by recognizing and correcting biased or discriminatory content. It helps organizations identify and address unconscious biases within their written material, promoting more inclusive and diverse messaging, thus nurturing a positive online community.

    How Does an AI Text Classifier Operate?

    The AI text classifier identifies how ChatGPT functions, as both the chatbot and the classifier were developed by OpenAI.

    Some might question why the company would create software to detect its output, but the answer is straightforward. ChatGPT is designed to assist rather than replace content creators.

    Consider this carefully, as leading search engines like Google may penalize generic AI-generated content. Once such content is identified, it is unlikely to achieve a high ranking. Consequently, relying heavily on AI-generated text could be more detrimental than beneficial for businesses.

    What Are the Features of Our AI Text Classifier?

    The text classifier features a straightforward and user-friendly interface that anyone can navigate easily, and it is integrated within the same OpenAI ecosystem that includes tools like ChatGPT. This endows it with significant power and reliability.

    Importantly, the AI text classifier is developed by the same team, so they possess a deep understanding of how their AI operates. It is noteworthy that they have indicated this tool is currently in beta, implying that numerous updates will be implemented over time.

    This is reassuring, indicating a promising future for this detection tool. Only time will reveal how advanced AI will become, suggesting that detection technologies must continue to evolve.

    Today’s era can rightly be recognized as the age of artificial intelligence (A.I.). Presently, all aspects of work can be accomplished with A.I. assistance, leading many individuals to generate their content through A.I. This practice can be problematic for their websites since Google does not prioritize A.I. content. Those who modify A.I.-generated content and deploy it on their blogs or websites often remain unaware of whether their content still retains A.I. origins.

    That is why we developed the AI text classifier, which will evaluate your content in seconds and inform you of the percentage generated by A.I. versus that created by a human.

  • Scarlett Johansson threatened legal action against OpenAI

    OpenAI is arguing with US actress Scarlett Johansson about an AI voice in the bot ChatGPT. Johansson thinks the bot sounds like her.OpenAI reacts – and “pauses” the voice.

    AI-controlled chatbots can not only write, but also speak to users. They should sound more and more human and natural – that is the big goal of companies like OpenAI, the makers behind ChatGPT.

    Last week, OpenAI presented updates to the chatbot -impressive, among other things, was how fluently and naturally the bot can now speak to users – and that it is able to read a story with different intonations, for example.

    “Programmed by a man”

    The female voice called Sky attracted a lot of attention and also ridicule. The reason, said comedienne Desi Lydic on the Daily Show, was that she sometimes came across as friendly and even very sexy. “It’s clearly programmed by a man. She has all the information in the world, but she seems to say: ‘But I don’t know anything! Teach me, Daddy…’”

    Some Internet users said the voice resembled actress Scarlett Johansson. In the 2013 film “Her”, she voiced an artificial intelligence named Samantha – the plot of the film: a man, played by Joaquin Phoenix, falls in love with this AI.

    Johansson’s lawyers contact OpenAI

    Apparently the comparison is not too far-fetched, because now Scarlett Johansson herself has also spoken out: In a statement, Johansson says that OpenAI boss Sam Altman asked her last September to consider becoming one of the voices for ChatGPT. But she turned down the offer.

    Now she has heard from friends and family members that the ChatGPT voice sounds a lot like her. Her lawyers have contacted the company to have the voice deleted.

    Not the first lawsuit over voice AI

    Sky is one of five voices that the company offers; there are also Breeze, Cove, Juniper, and Ember. Sky has been unavailable since Monday -OpenAI wrote on X, formerly Twitter, that this voice is being paused for the time being.

    The post went on to say that Sky was not an imitation, but belonged to another professional actress, whose name they did not want to mention for privacy reasons. She was selected in a casting.

    Voices can now be copied very easily with the help of AI -just recently a group of actors sued the AI ​​​​company Lovo. The company allegedly used their voices without permission.

    Suddenly Morgan Freeman can speak German

    An Israeli start-up wants to replace voice actors for films or series with artificial intelligence – with software that digitally edits original voices.

    It is quite unusual when the American actor Morgan Freeman, with his uniquely deep voice, suddenly speaks fluent German or Spanish. Itsounds as if the US Hollywood star had dubbed himself in the film versions for the respective countries. Now, in his 84th year, the Oscar winner has not usedthe Corona-related standstill of the film sets to learn various foreign languages. Rather, it is a so-called “deep fake” of his unmistakable voice, i.e. a digital edit – presented by the Israeli start-up”Deepdub”.

    Brothers with intelligence experience

    The company was founded in 2019 by brothers Ofir and NirKrakowski, who also helped set up the cyber sector of Israel’s domestic intelligence service Shin Bet. Both are enthusiastic film lovers. They find it disappointing when dubbed versions have to do without the actors’ distinctive original voices and instead present a voice-over version by local speakers.

    Now they want to revolutionize the film and series market with the help of artificial intelligence. With the “deep learning”synchronization platform they have developed, production companies can transform content from one language into another. The software learns and trains with the help of various clips of the original voices until it is able to use the speech data to create an artificial voice that sounds like the original – just in the different national languages.

    Dialects and accents also possible?

    “Deepdub” is initially launching a service in German, English, Spanish and French. The start-up is not only promoting the fact that it improves the authenticity of productions and film enjoyment.Hollywood film distributors and streaming services should also be able to save money and time thanks to the artificial voices. Dubbing productions are expensive and often take months. The AI ​​is supposed to do this work within a few weeks at a fraction of the cost.

    The Krakowski brothers are also proud that their customers can choose whether the original actors and actresses speak the local languageperfectly or with an accent. For example, Morgan Freeman can speak “moltobene” like a native Roman for the Italian market, or Italian with an American accent. Theoretically, various dialects would also be possible. The actor himself has not yet commented on whether he would like to surprise his fans with Low German or Bavarian language skills in the future.

    RECENTLY, ACTRESS SCARLETT JOHANSSON AND OTHER VOICE ACTORS HAVE BROUGHT TO ATTENTION THE NEED FOR LEGAL REGULATION IN THE FIELD OF VOICE ACTING.

    Technology is evolving at a rapid pace thanks to artificial intelligence (AI). One area that’s seeing significant advances is voice technology, with AI-generated voices becoming more common in various applications such as virtual assistants, audiobooks, and customer service. However, this advancement is giving rise to legal concerns regarding the unauthorized use of people’s voices in AI.

    The complex legal issues surrounding voice in AI involve various aspects. Copyright laws are relevant, but the more significant concern often lies in the Right of Publicity, which protects an individual’s control over the commercial use of their likeness, including their voice.

    Some recent legal cases shed light on the challenges in this area:

    Scarlett Johansson’s Lawsuit Against OpenAI

    Actress Scarlett Johansson accused OpenAI of creating an AI voice for ChatGPT that sounded remarkably similar to hers. “When I heard the released demo, I was shocked, angered, and in disbelief that Mr. Altman would pursue a voice that sounded so eerily similar to mine,” Johansson expressed. OpenAI later issued an apology and suspended the “Sky” voice mode. This controversy underscores the importance of avoiding deliberate mimicry of celebrity voices and emphasizes the need for transparency and consent when using AI-generated voices.

    LOVO’s Class Action Lawsuit

    Voiceover actors Paul Skye Lehrman and Linnea Sage filed a class action lawsuit against AI startup LOVO, alleging that LOVO misappropriated their voices and those of other celebrities like Johansson, Ariana Grande, and Conan O’Brien. This case highlights the legal risks associated with utilizing AI voices without proper authorization. According to Pollock Cohen attorneys Steve Cohen and Anna Menkova, “LOVO claims to compensate voice actors. That may be true in some cases. But plaintiffs and other members of the class have received no revenue from the continued unauthorized use of their voices by LOVO and LOVO clients.”

    Key Legal Issues in AI Voice Technology

    Some of the main legal concerns regarding AI voice technology include:

    Rights of Publicity

    Performers have rights to their names, voices, and likenesses, even after death in many U.S. states, including New York. Unauthorized use of a performer’s voice could infringe on these rights. When an AI generates a voice that closely resembles a celebrity, questions arise about whether the AI is exploiting their likeness without permission.

    Consumer Protection Laws

    Misleading advertising and presenting something as another can result in legal action. AI-generated voices must not deceive consumers or misrepresent products or services. For instance, using an AI voice in a commercial without proper disclosure could violate consumer protection laws.

    Guild and Union Agreements

    Contracts between performers and studios often govern voice performances, outlining compensation, exclusivity, and other terms. When AI-generated voices are employed, studios and developers must consider compliance with existing contracts. If an AI voice mimics a unionized actor’s voice, disputes could arise.

    The Future of Voice and the Law

    These cases highlight the need for clearer legal frameworks surrounding the use of voices in AI. Some suggested solutions include:

    “Right of Voice” Legislation

    Several U.S. states are contemplating legislation that would grant individuals a specific “Right of Voice” alongside the Right of Publicity.

    Transparency and Disclosure

    Requiring developers to be transparent about AI-generated voices and obtain proper licensing could be a step forward.

    Unauthorized use of voices in AI presents a complex legal challenge. As AI technology continues to advance, so too must the laws governing its use. By establishing robust legal frameworks that protect individual rights while fostering innovation, we can navigate this uncharted territory and ensure the ethical development of voice AI.

    Tennessee’s Ensuring Likeness Voice and Image Security (ELVIS) Act explicitly includes a person’s voice as a protected property right for the first time, broadly defining “voice” to encompass both an individual’s “actual voice” and a “simulation” of the individual’s voice.

    Violations of the ELVIS Act can lead to civil action enforcement and criminal enforcement as a Class A misdemeanor, which carries penalties of up to 11 months, 29 days in jail and/or fines up to $2,500.00.

    Music labels with contracts with artists may seek remedies against wrongdoers under the ELVIS Act, which will be exclusive and limited to Tennessee residents when it goes into effect on July 1, 2024.

    The proliferation of AI has caused growing concern among musicians, music industry leaders, and lawmakers, who have advocated for stronger protections for musicians’ copyrights and other intellectual property. This alert from Holland & Knight examines how the Ensuring Likeness Voice and Image Security (ELVIS) Act of 2024 (ELVIS Act) enhances protections for the name, image, likeness, and voice (NIL+V) of artists through artificial intelligence and explores additional safeguards and rights for artists that may be forthcoming.

    The ELVIS Act states that every individual holds a property right in the use of their NIL+V in any medium and in any manner, including use in songs, documentaries, films, books, and social media posts (e.g., Tik Tok, Instagram), among other platforms.

    The Tennessee General Assembly has provided a summary and the complete text of the ELVIS Act.

    Significance of the ELVIS Act

    The advancing capabilities of AI have outstripped regulators’ ability to define boundaries around AI usage in various industries. Legislators are keen to address current issues and anticipate new challenges related to the use of AI technology to replicate or imitate individuals, particularly in diverse entertainment sectors.

    Protection for Recording Artists: AI voice synthesis technology has made recording artists susceptible to highly convincing impersonations known as “voice clones,” which could potentially confuse, offend, defraud, or deceive their fans and the general public. The use of voice clones could devalue a recording artist’s unique talent by mass-producing music featuring an AI approximation of the artist’s voice. For artists, Tennessee’s new law establishes a basis for them to receive explicit protection over their voices for the first time, in addition to the standard name, image, and likeness (NIL) rights.

    Protection for Voice Actors, Podcasters, and Others: While much attention has been focused on its potential impact in the music industry and voice cloning of famous artists, the ELVIS Act also safeguards podcasters and voice actors, regardless of their level of renown, from the unjust exploitation of their voices, such as by former employers after they have left the company. Individuals have a new tool to protect their personal brands and ensure the enduring value of their voice work.

    Path to the Present

    An episode from the 2019 HBO anthology series “Black Mirror” (“Rachel, Jack and Ashley Too”) anticipated the concerns confronting artists today: the use of their voices to create and release new content without their control or approval. These concerns have only heightened as AI technologies have become more sophisticated and capable of producing deep fakes and voice clones that are nearly indistinguishable from the originals.

    In the wake of the recent controversial release of the alleged “Fake-Drake” song “Heart on My Sleeve” by Ghostwriter (a TikTok user), who utilized AI technology to produce the song without consent, the issue of AI voice cloning has become a prominent topic. To underscore this growing issue, since shortly after the release of the “Fake-Drake” song, numerous music business executives have been urging for legislation to regulate AI in the music industry.

    Support and Concerns

    Prior to its enactment, the bill that later became the ELVIS Act was extensively discussed in both House and Senate committee hearings. The music industry broadly supported the bill in these hearings, and local talents, including Luke Bryan, Chris Janson, Lindsay Ell, Natalie Grant, and others, expressed their support for the bill. However, members of the film and TV industry raised worries that the “right to publicity” protections included in the ELVIS Act would unduly restrict the production of movies and shows by, for instance, imposing an excessive burden to obtain the necessary approvals or permissions to use an individual’s name, image, voice, or likeness. Despite their objections, the bill garnered unanimous support from Tennessee legislators in all relevant committees and on the House and Senate floors (30-0 in the Senate and 93-0 in the House).

    The ELVIS Act was approved on March 21, 2024, without substantial revision and with substantial enthusiasm from prominent members of the Nashville music community.

    Fundamental Aspects of the ELVIS Act

    The ELVIS Act revises Tennessee’s existing Personal Rights Protection Act (PPRA) of 1984, which was enacted in part to extend Elvis Presley’s publicity rights after his death in 1977. The PPRA forbade the use of a person’s name, image, or photograph solely “for purposes of advertising” and permitted both civil and criminal actions for breaches; however, it did not extend protections to the use of a person’s voice.

    Most notably, the ELVIS Act incorporates an individual’s actual or simulated “voice” to the list of personal attributes already safeguarded by the PPRA. It also amends the PPRA in three significant ways:

    1. An individual can be held accountable in a civil lawsuit and charged with a Class A misdemeanor if they:

    – Share, perform, distribute, transmit, or otherwise make public an individual’s voice or likeness with the knowledge that the use of the voice or likeness was not authorized by the individual, or by a person with the appropriate authority in the case of minors or deceased individuals.

    – Share, transmit, or otherwise make available an algorithm, software, tool, or other technology primarily intended to produce an identifiable individual’s photograph, voice, or likeness with the knowledge that sharing or making available the photograph, voice, or likeness was not authorized by the individual or by a person with appropriate authority in the case of minors and the deceased.

    2. A person or entity with exclusive rights to an individual’s personal services as a recording artist or the distribution of sound recordings capturing an individual’s audio performances can take legal action against unauthorized use on behalf of the individual.

    3. Use of an individual’s name, photograph, voice, or likeness can be considered fair use under copyright law if:

    – It is used in connection with news, public affairs, or sports broadcasts for comment, criticism, scholarship, satire, or parody purposes.

    – It is a portrayal of the individual in an audiovisual work, except if the work creates a false impression that the individual participated in it, and the use is fleeting or incidental.

    – It appears in an advertisement or commercial announcement related to news, public affairs, sports broadcasts, or audiovisual works. Violations of the ELVIS Act can result in civil and criminal enforcement as a Class A misdemeanor, carrying penalties of up to 11 months, 29 days in jail and/or fines up to $2,500.

    State-to-state protections for name, image, and likeness rights of publicity vary across the U.S. Approximately 39 states have passed or proposed Name, Image, and Likeness (NIL) legislation. Tennessee’s ELVIS Act is not the first to include protection for an individual’s voice (NIL+V), as California has longstanding NIL+V protections in place, but it is the first to expressly protect against uses of AI to infringe on an individual’s rights to their own NIL+V.

    The federal government is also working on solutions to address concerns about publicity rights. In January 2024, a bipartisan group of House legislators introduced the No Artificial Intelligence Fake Replicas and Unauthorized Duplications Act (No AI FRAUD Act) to protect one’s voice and likeness, building upon the Senate’s draft bill, the Nurture Originals, Foster Art, and Keep Entertainment Safe Act (NO FAKES Act), which was introduced in October 2023.

    Although the NO AI FRAUD ACT aims to establish broader and more synchronized protections on the federal level, artists living in states with stronger protections than the No AI FRAUD ACT may prefer seeking redress under state law.

    “Publicly available” does not automatically mean “free to share without repercussion.” Avoid copying, promoting, or circulating anything related to an individual’s name, image, likeness, or using the individual’s voice or a simulation of their voice without consent.

    Seeking permission or obtaining a license can reduce the risk of potential infringement claims, especially for commercial uses. Stay updated on developments in NIL+V law, as the ELVIS Act applies only to Tennessee residents, and other states may introduce similar legislation.

    AI will undoubtedly influence the future of the arts and music industry as its technology advances. For more information about the ELVIS Act or questions about potentially violating an artist’s publicity rights using AI and safeguarding name, image, likeness, and voice rights, please contact the authors. Tennessee’s Ensuring Likeness Voice and Image Security (ELVIS) Act explicitly includes a person’s voice as a protected property right for the first time, broadly defining “voice” to include both an individual’s “actual voice” and a “simulation” of it.

    Infractions of the ELVIS Act can be pursued through both a civil lawsuit and criminal prosecution as a Class A misdemeanor, which can result in penalties of up to 11 months and 29 days in jail and/or fines up to $2,500.00.

    Record labels with agreements with musicians may pursue legal actions against those who violate the ELVIS Act, which becomes effective on July 1, 2024, and will only apply to residents of Tennessee.

    The increasing use of artificial intelligence (AI) has raised concerns among artists, music industry leaders, and lawmakers, who have advocated for stronger protections for musicians’ copyrights and other intellectual property. This alert from Holland & Knight delves into how the Ensuring Likeness Voice and Image Security (ELVIS) Act of 2024 (ELVIS Act) expands protections for artificial intelligence related to artists’ name, image, likeness, and voice (NIL+V) and explores potential additional safeguards and rights for artists.

    The ELVIS Act states that every person holds property rights in the use of their NIL+V in any form and manner, including in songs, documentaries, films, books, and social media platforms such as TikTok and Instagram, among others.

    The Tennessee General Assembly has provided a summary and the complete text of the ELVIS Act.

    The Significance of the ELVIS Act

    The rapid advancements in AI have surpassed regulators’ ability to establish limits on its use across various sectors. Legislators are keen to address existing issues and anticipate new challenges related to the use of AI to mimic or impersonate individuals, particularly in the entertainment industry.

    Protection for Musicians: The emergence of AI voice synthesis technology has exposed musicians to potentially convincing impersonations known as “voice clones,” which could deceive, offend, defraud, or mislead their audience and the public. The use of voice clones may devalue a musician’s unique talent by mass-producing music using an AI imitation of the artist’s voice. For musicians, Tennessee’s new law establishes a foundational protection over their voices for the first time, in addition to the standard name, image, and likeness (NIL) rights.

    Protection for Voice Actors, Podcasters, and Others: While there has been significant focus on its potential impact in the music industry and voice cloning of renowned artists, the ELVIS Act also safeguards podcasters and voice actors, irrespective of their level of fame, from the unfair exploitation of their voices, such as by former employers after they have left the organization. Individuals have a new legal recourse to safeguard their personal brands and ensure the ongoing value of their voice work.

    How We Arrived Here

    An episode of the futuristic HBO series “Black Mirror” (“Rachel, Jack and Ashley Too”) in 2019 foreshadowed the current concerns facing artists: the use of their voices to create and release new content without their control or approval. These concerns have escalated as AI technologies have become more advanced and capable of producing deep fakes and voice clones that are almost indistinguishable from the genuine article.

    Following the contentious release of the alleged “Fake-Drake” track “Heart on My Sleeve” by Ghostwriter, a TikTok user who used AI technology to compose the song without consent, the issue of AI voice cloning has become a hot topic. Furthermore, since the release of the “Fake-Drake” track, numerous music industry executives have advocated for laws to regulate AI in the music sector.

    Support and Concerns

    Prior to its enactment, the bill that became the ELVIS Act was extensively debated in both House and Senate committee hearings. The music industry broadly supported the bill during these hearings, and local talents, including Luke Bryan, Chris Janson, Lindsay Ell, Natalie Grant, and others, vocally endorsed the legislation.

    However, members of the film and TV industry raised objections that the “right to publicity” protections outlined in the ELVIS Act could unduly impede the production of movies and shows by, for example, imposing an unreasonable burden to obtain the necessary approvals or permissions for using an individual’s name, image, voice, or likeness. Despite their objections, the bill received unanimous backing from Tennessee legislators in all relevant committees and in both the House and Senate (30-0 in the Senate and 93-0 in the House).

    The ELVIS Act was ratified on March 21, 2024, without significant modification and was met with considerable enthusiasm from prominent figures in the Nashville music community.

    Important Elements of the ELVIS Act

    The ELVIS Act modifies the Personal Rights Protection Act (PPRA) of 1984 in Tennessee, which was enacted to prolong Elvis Presley’s publicity rights after his death in 1977. The PPRA prohibited the use of a person’s name, image, or likeness solely for advertising purposes and allowed for civil and criminal actions in case of violations. However, it didn’t cover the use of a person’s voice.

    The ELVIS Act specifically introduces an individual’s actual or simulated “voice” as a newly protected characteristic under the PPRA. It makes three primary amendments to the PPRA:

    1. An individual can be held liable in a civil action and could be guilty of a Class A misdemeanor if they: publish, perform, distribute, transmit, or otherwise make an individual’s voice or likeness available to the public, knowing that the individual did not authorize the use of their voice or likeness, or in the case of minors and the deceased, a person with appropriate authority; distribute, transmit, or make available an algorithm, software, tool, or other technology, service, or device primarily designed to produce a specific individual’s photograph, voice, or likeness, knowing that making it available was not authorized by the individual, or in the case of minors and the deceased, a person with appropriate authority.

    2. An individual or entity, such as a music label, holding exclusive rights to a) an individual’s personal services as a recording artist or b) the distribution of sound recordings capturing an individual’s audio performances, can initiate legal action and seek remedies against offenders on behalf of the individual.

    3. The use of an individual’s name, photograph, voice, or likeness is explicitly considered a fair use under copyright law, to the extent protected by the First Amendment, if used: in connection with any news, public affairs, or sports broadcast or account; for comment, criticism, scholarship, satire, or parody; as a representation of the individual in an audiovisual work unless the work creates a false impression that the individual participated; or fleetingly or incidentally in an advertisement or commercial announcement for any of the preceding purposes.

    Violations of the ELVIS Act can be prosecuted through a civil lawsuit and as a Class A misdemeanor, carrying penalties of up to 11 months and 29 days in jail and/or fines of up to $2,500.

    State Protections

    The “right of publicity” protections for name, image, and likeness (NIL) differ from state to state in the U.S., making it difficult to enforce an individual’s ownership over their name, likeness, and voice. Around 39 states have passed or proposed NIL legislation. Tennessee’s ELVIS Act is not the first to incorporate protection for an individual’s voice (NIL+V); California has long-established NIL+V protections. However, it is the first to explicitly safeguard against the use of AI to violate an individual’s rights to their own NIL+V.

    Federal Protections Underway

    The federal government is also working on addressing concerns related to publicity rights. In January 2024, a bipartisan group of House legislators introduced the No Artificial Intelligence Fake Replicas And Unauthorized Duplications Act (No AI FRAUD Act), which aims to establish a federal framework for protecting one’s voice and likeness, while outlining First Amendment protections. This builds on the Senate’s NO FAKES Act, a draft bill introduced in October 2023.

    While the NO AI FRAUD ACT aims to establish broader federal protections, artists in states with stronger protections may find it prudent to seek redress under state law.

    Avoiding Violations of Individual Rights

    “Publicly available” does not imply “free to share without consequences.” Do not copy, promote, or circulate anything related to a person’s name, image, likeness, or voice without consent or outside the realm of First Amendment protections.

    Seeking permission or obtaining a license helps mitigate the risk of potential infringement claims, particularly for commercial use. If obtaining consent is impractical or unnecessary, seeking legal advice is advisable.

    Stay informed about developments in NIL+V law. While the ELVIS Act applies only to Tennessee residents, other states may enact similar legislation.

    AI’s role in shaping the future of the arts, particularly the music industry, will undoubtedly grow as AI technology advances. If you have questions about the ELVIS Act or if you want to know whether your use of AI might infringe on an artist’s right to publicity, or how to protect your name, image, likeness, and voice rights, please reach out to the authors.

    Understanding AI Voices and Their Legality

    The world is vast and fascinating, brought to life through voice replication technology using advanced AI models trained on human speech. Collaboration among various AI labs has enabled us to create realistic digital experiences with these voices, which are used for gaming, streaming services, and other conversational applications.

    As the prevalence of AI-based vocalizations grows, there have been raised ethical and legal considerations, sparking a debate about their place in today’s society.

    The Development of AI Voices

    AI’s development of voices using voice replication technology is now a reality, utilizing deep learning, machine learning algorithms, and neural networks.

    This process involves training AI speech models with human speech samples to mimic lifelike speech sounds that accurately reflect human speech.

    Exposing these models to various human voices allows them to produce digital vocalizations with lifelike qualities comparable to natural tones.

    Legal Aspects of AI Voice Usage

    Regarding AI voices, specific regulations may be necessary depending on the particular context and location. For example, utilizing a prominent figure’s voice without consent might result in legal consequences.

    If using copyrighted material to generate AI-based sound, regulations may limit the free use of this audio content for vocalization.

    Many countries’ existing laws have yet to provide sufficient protection against potential issues regarding AI-based audio content creation tools, and the technology’s rapid evolution makes it challenging to implement new legislation.

    Factors Impacting AI Voice Legality

    As AI technology and voice services advance, ongoing monitoring of legal issues such as copyright infringement or intellectual property rights is necessary to ensure responsible use.

    For example, using AI-generated voice-overs without the creator’s permission could be unlawful. It’s important for users of these voices to be mindful of potential consequences that may arise from not following applicable laws.

    Regulating AI Voices: Current Laws and Future Trends

    As the technology becomes increasingly popular, current laws are being scrutinized to assess whether they adequately address this new phenomenon. This has led governments and legislators to explore the development of regulations specifically tailored for these types of artificial technology.

    When considering potential regulations, various international perspectives should be taken into account in decision-making. Understanding the responses of different countries is a vital part of creating sound legislation regarding virtual vocalizations originating from AI sources.

    Existing Laws and Regulations

    This technology’s development has sparked the need for new legal frameworks to address associated issues. For instance, the California AI Accountability Act was introduced to “encourage continued innovation while ensuring the rights and opportunities of all Californians are protected.” Among the proposed regulations are provisions that “would require California state agencies to notify users when they are interacting with AI.” It recognizes the potential benefits of generative AI while also addressing potential misuse of the technology.

    Despite existing and developing laws, it may not be sufficient to cover all aspects that arise when dealing with voice recognition systems due to the unique challenges posed by this type of technology.

    Potential New Regulations and Legislation

    Given the recent advancements in AI voice technology, adapting legal frameworks to ensure responsible and ethical use is critical.

    Legislators are contemplating new laws and enacting regulations to address the unique issues caused by this technology. Some bills address discrimination resulting from using AI, while others focus on its applications.

    International Perspectives on AI Voice Regulation

    Different countries may have varying regulations for controlling AI voice technology. Some may be very strict in their regulations, while others may take a more lenient stance on the issue. Regardless of the policy, it is essential to establish appropriate standards for managing generative voice and AI voice technology to protect individuals and businesses and ensure responsible use across nations.

    With these guidelines in place, safety surrounding the use of AIs employing voice recognition can become more standardized across different countries.

    AI Voice Cloning: Ethical Concerns and Legal Implications

    The use of voice cloning technology raises numerous moral issues and potential legal ramifications, including potential abuse or use for impersonation or deception.

    Certainly! It is crucial to consider all ethical aspects associated with AI voice and related technologies while taking into account how to minimize their potential negative impact on our society.

    Ethical Considerations

    When utilizing this technology, ethical considerations, such as privacy and consent, must be considered. Unauthorized use of someone’s voice without their permission can lead to identity theft or other malicious activities that violate an individual’s right to privacy.

    Concerns regarding ownership are also important when using another person’s vocal sound without their consent. Therefore, the ethical implications of this technology must be carefully examined.

    Legal Consequences of Voice Cloning Misuse

    Misusing voice cloning technology can result in legal consequences for both users and AI providers, including defamation, copyright infringement, impersonation, or privacy violations.

    Those using cloned voices must ensure compliance with relevant laws and ethical regulations related to the use of this technology.

    Protecting Against Voice Cloning Misuse

    Misuse of voice cloning could be addressed by implementing legal measures, such as explicit provisions related to voice replication and extending the coverage of copyright laws. This would offer individuals and organizations better protection against the risks posed by this technology.

    By introducing features like false light protection in addition to voice copyrights, individuals can protect themselves more effectively against the harm associated with voice cloning abuse.

    AI Voices in Specific Industries: Challenges and Regulations The use of AI voices in various sectors, such as entertainment, healthcare, insurance, and government agencies, presents several potential legal issues.

    For instance, in the entertainment industry, complying with specific regulations is necessary when creating characters using generative AI.

    For government services involving voice interactions between officials and citizens, other relevant laws must be respected.

    In healthcare, it is important to consider access rights when enforcing regulations on the use of AI-generated voice to safeguard people’s confidential information. Understanding human interaction is crucial in this process.

    AI Voices in Entertainment and Media

    Adhering to the appropriate laws and regulations is essential when using AI voices in entertainment to avoid potential legal complications related to intellectual property rights. For instance, utilizing an AI-generated voice replicated without consent from a well-known actor or singer could lead to potential repercussions for those involved. It is important to strictly abide by relevant rules when using AI voices in this industry.

    AI Voices in Healthcare and Insurance

    AI voices are raising concerns in the healthcare and insurance sectors, particularly regarding data collection. Regulators have raised questions about security, privacy, and potential bias when it comes to AI-powered decision-making.

    To ensure the responsible and ethical use of AI voices for the benefit of these industries, compliance with applicable regulations is necessary, covering both data handling and the voice technologies themselves.

    Use in Government and Public Services

    Regulations governing AI voices used by the government must be followed to uphold democratic values and integrity. Those utilizing such technology in public services or government activities must adhere to laws and relevant guidelines to maintain trust from citizens and accountability at large. The responsible use of these voices will help ensure their ethical use within these areas without bias.

    Creating Your Own AI Voice: Legal Considerations and Best Practices

    To develop AI voices responsibly, users must adhere to specific legal requirements and best practices. This helps them avoid issues related to infringement or misuse of their creations. Guidelines exist for both the development and proper use of these AI voices by consumers.

    By following these regulations and recommended strategies, AI voice owners can ensure that their use is conducted ethically, encompassing all aspects of content production and usage surrounding this technology.

    Legal Requirements for AI Voice Creation

    AI voices are subject to stringent legal requirements, such as obtaining consent and protecting intellectual property rights.

    Users should ensure that they do not violate any copyrights or trademarks and that the computer-generated voice is used for legitimate purposes. It is vital to be aware of these laws when creating an AI vocal output to avoid the consequences of non-compliance with AI usage regulations.

    Avoiding Infringement and Misuse

    To steer clear of potential legal complications, creators should be cautious when using copyrighted materials or replicating well-known personalities. One potential solution is to obtain permission from the original voice actor and enlist a different person.

    Organizations may consider using voice recognition technology to ensure that their AI Voices do not violate copyright rules and intellectual property rights.

    Responsible AI Voice Development and Usage

    Developers of AI voices should follow best practices to ensure responsible and ethical use. The voices should be fair, address privacy concerns, and provide clear explanations for each action taken, always prioritizing user well-being. Security requirements should not be neglected when designing these AI voices.

    Summary

    AI-generated voices present various possibilities and challenges that require our attention and careful consideration. Understanding the ethical and legal aspects of AI voice generation is crucial for individuals, organizations, and governments to use it effectively and responsibly, ensuring a positive future for this advancing technology.

    Frequently Asked Questions

    Learning about the legal and ethical dimensions is essential for those who want to create or use this technology. This FAQ answers common questions about the legality, usage, and development of digital conversations. For a quick overview of how such technology needs to be approached legally and ethically, this guide serves as an ideal reference point.

    AI technologies are advancing every day, making it important for individuals to become knowledgeable about their potential implications when used through vocally automated interaction systems.

    Is it illegal to replicate a voice?

    Replicating a human voice can lead to legal issues as it may violate copyright or intellectual property rights. To avoid any problems, obtaining the individual’s consent is crucial and all AI-generated voices must be created in compliance with data privacy regulations and personal protection laws. It is important to remain mindful of the potential consequences associated with creating an artificial version of someone’s voice while ensuring that every step aligns strictly with existing legislation concerning AI technology and sound recordings.

    Is AI voice replication legal?

    When it comes to AI voice replication, regulations have not yet been established, and the legality of this technology is uncertain. It could be considered illegal if used for deceptive purposes. The use of AI to replicate someone’s voice needs to be regulated legally and ethically.

    Can AI voice be used in a song?

    AI technology can be used to create new music and songs. Using AI voice models and synthesizing melodies, harmonies, and lyrics allows for a unique sound and tone created by this advanced technology. The technology should only be used with the explicit consent of any artists whose voices are utilized, and they should receive compensation.

    Can AI voice be used for commercial purposes?

    While it is simpler to use this technology for non-commercial purposes, commercial use involves more legal implications. If you want to create derivative songs, permission must be obtained from the artist whose voice was used.

    Are there any regulations on AI yet?

    As of now, there is no comprehensive legal framework for AI or data protection at the national level in America. Certain states, like California, have taken steps to pass laws and regulations related to AI.

    Can you be sued for using an AI voice?

    Misuse or copyright infringement can lead to legal consequences. Examples of these repercussions include defamation, false light, or fraudulent activity involving impersonation. To prevent such issues, users should ensure that they comply with laws on AI use and uphold ethical standards when using these AI voices in any way.

    How much does it cost to create a clone of your own voice?

    The cost of creating a voice clone depends on the technology and resources used. To determine the best option for your needs, research various providers and their pricing models for voice cloning technologies.

    How much does it cost to create an AI voice with exclusive rights?

    Creating an AI voice with exclusive rights can be costly due to legal agreements and unique datasets required for this technology. While a significant investment, it provides companies with exclusive access to their desired product. Data from various sources must also be collected along with necessary legal contracts for the endeavor to succeed. All these combined factors contribute to the significant cost associated with exclusive, advanced AI voices.

    Is AI voice-over permitted on YouTube?

    Users should be careful when using AI voice-overs on YouTube, as it could involve copyright and intellectual property issues. Care must be taken to ensure that these voices do not violate any existing copyright laws or trademarks or are used for illegal activities.

    Is creating a deep fake legal?

    To avoid any legal issues, it is essential to ensure that no existing copyrights or trademarks are infringed upon when using deep fakes, while also ensuring they are not used for illicit activities. It’s also important to recognize the potential ethical implications of the technology.

    Can artificial intelligence imitate anyone’s voice?

    Using AI, it is possible to replicate anyone’s voice, which may give rise to legal and ethical concerns. Any voice generated using AI technology should not violate existing copyrights or trademarks, or be used for illegal purposes.

    Are synthetic voices derived from actual people?

    Human voices play a crucial role in training AI voice models. A digital replica of a well-known individual’s voice can be created by capturing a recording and employing AI to produce a nearly realistic audio experience for various applications. These AI-generated voices have diverse applications, from virtual assistants to automated systems.

    Will Scarlett Johansson pursue legal action against OpenAI for creating a voice assistant that mimics the character she portrayed in the 2013 film “Her,” which tells the story of a man’s romantic relationship with an AI?

    This situation could arise after Johansson indicated that OpenAI attempted to recruit her to provide the voice for an AI assistant for ChatGPT, and when she declined, proceeded to develop a similar-sounding voice. OpenAI’s co-founder and CEO, Sam Altman, could potentially be a target in such a lawsuit.

    Legal analysts suggest that Johansson might have a strong and convincing case in court if she chooses to take legal action, referencing a long history of previous cases that could lead to significant financial penalties for one of the industry’s leading AI firms and raise concerns about the sector’s preparedness to address AI’s various complex issues.

    OpenAI’s apparent unawareness of this legal precedent, or potentially being willfully neglectful, emphasizes criticisms regarding the lack of regulation in the AI field and the necessity for better safeguards for creators.

    OpenAI has not promptly replied to a request for comment.

    OpenAI’s potential legal exposure

    Legal experts indicate there are two types of law that could apply in this case, although only one is likely to be relevant based on the details currently available.

    The first pertains to copyright law. If OpenAI had directly sampled Johansson’s films or other published materials to develop Sky, the playful voice assistant introduced in an update to ChatGPT, they might face copyright issues, assuming they didn’t obtain prior authorization.

    That doesn’t seem to be the situation, at least according to OpenAI’s previous claims. The organization asserts that it did not utilize Johansson’s actual voice, as stated in a blog post, but instead employed “a different professional actress using her own natural speaking voice.”

    While this might suffice to mitigate a copyright claim, it would likely not protect OpenAI from the second type of law that is relevant, according to Tiffany Li, a law professor specializing in intellectual property and technology at the University of San Francisco.

    “It doesn’t matter if OpenAI used any of Scarlett Johansson’s actual voice samples,” Li noted on Threads. “She still has a valid right of publicity case here.”

    Understanding publicity rights laws

    Many states have laws concerning the right of publicity that shield individuals’ likenesses from being exploited or used without consent, and California’s law—where both Hollywood and OpenAI are situated—is among the most robust.

    The legislation in California forbids the unauthorized use of an individual’s “name, voice, signature, photograph, or likeness” for the purposes of “advertising or selling, or soliciting purchases of, products, merchandise, goods or services.”

    In contrast to a copyright claim, which relates to intellectual property, a right-of-publicity claim focuses more on the unauthorized commercialization of a person’s identity or public persona. In this scenario, Johansson could argue that OpenAI illegally profited from her identity by misleading users into believing she had provided the voice for Sky.

    One possible defense OpenAI could present is that their widely circulated videos showcasing Sky’s features were not technically created as advertisements or intended to induce sales, according to John Bergmayer, legal director at Public Knowledge, a consumer advocacy organization. However, he also indicated that this might be a rather weak argument.

    “I believe that usage in a highly publicized promotional video or presentation easily satisfies that requirement,” he stated.

    In addition to claiming it never used Johansson’s actual voice and that its videos were not advertisements, OpenAI could assert that it did not aim to precisely replicate Johansson. However, there is considerable legal precedent—and one very inconvenient fact for OpenAI—that undermines that defense, according to legal professionals.

    A precedent involving Bette Midler

    There are approximately six or so cases in this area that illustrate how OpenAI may find itself in trouble. Here are two of the most significant examples.

    In 1988, singer Bette Midler successfully sued Ford Motor Company over a commercial featuring what sounded like her voice. In reality, the jingle in the advertisement had been recorded by one of Midler’s backup singers after she declined the opportunity to perform it. The similarities between the imitation and the original were so remarkable that many people told Midler they believed she had sung in the commercial.

    The US Court of Appeals for the 9th Circuit ruled in favor of Midler.

    “Why did the defendants ask Midler to sing if her voice was not of use to them?” the court articulated in its ruling. “Why did they carefully seek out a sound-alike and instruct her to imitate Midler if Midler’s voice was not of value to them? What they sought was a quality of Midler’s identity. Its worth was what the market would have paid for Midler to have performed the commercial in person.”

    In a related case decided by the 9th Circuit in 1992, singer Tom Waits received $2.6 million in damages against snack food company Frito-Lay over a Doritos advertisement that featured an imitation of Waits’ distinctive raspy voice. In that instance, the court reaffirmed its decision in the Midler case, further establishing the notion that California’s right of publicity law protects individuals from unauthorized exploitation.

    The scenario involving Johansson and OpenAI closely mirrors previous cases. Johansson claims that OpenAI contacted her to voice the character Sky, which she declined. Months later, however, OpenAI launched a version of Sky that many compared to Johansson, leading her to say that even her “closest friends … could not tell the difference.”

    The success of OpenAI in facing a potential publicity rights lawsuit may depend on their intent — specifically, whether the company can demonstrate it did not aim to replicate Johansson’s voice, according to James Grimmelmann, a law professor at Cornell University.

    In a blog post on Sunday, OpenAI asserted that Sky was “not an imitation of Scarlett Johansson,” emphasizing that the goal of its AI voices is to create “an approachable voice that inspires trust,” one characterized by a “rich tone” that is “natural and easy to listen to.”

    On Monday evening, Altman issued a statement in response to Johansson’s remarks, asserting that the voice actor for Sky was engaged before any contact was made with Johansson and expressed regret for the lack of communication.

    However, OpenAI may have compromised its position.

    “OpenAI could have had a credible case if they hadn’t spent the last two weeks suggesting they had essentially created Samantha from ‘Her,’” Grimmelmann noted, referring to Johansson’s character from the 2013 film. “There was significant public recognition tying Sky to Samantha, and that was likely intentional.”

    The numerous comparisons made by users to Johansson were further emphasized when Altman shared a post on X the day the product was announced: “her.” Johansson’s statement indicated that Altman’s post insinuated that “the similarity was intentional.” Less than a year ago, Altman commented to audiences that “Her” was not only “incredibly prophetic” but also his favorite science-fiction film.

    When viewed together, these elements imply that OpenAI may have intended for users to implicitly connect Sky with Johansson in ways that California’s law tends to prohibit.

    Altman’s post was described as “incredibly unwise” by Bergmayer. “Considering the circumstances here — the negotiations, the tweet — even if OpenAI was utilizing a voice actor who merely sounded like Johansson, it still poses a substantial likelihood of their liability.”

    Lost in deepfake translation, the situation involving Johansson exemplifies the potential pitfalls of deepfakes and AI. While California’s publicity law safeguards all individuals, certain state statutes protect only celebrities, and not all states have such laws.

    Moreover, existing laws may safeguard an individual’s image or voice but may not encompass some of the capabilities offered by AI, such as instructing a model to recreate art “in the style” of a famous artist.

    “This case illustrates the necessity for a federal right to publicity law, given that not every situation will conveniently involve California,” Bergmayer stated.

    Some technology companies are stepping in. Adobe, the creator of Photoshop, has advocated for a proposal termed the FAIR Act, aimed at establishing a federal safeguard against AI impersonation. The company contends that while it markets AI tools as part of its creative software, it has a vested interest in ensuring its customers can continue to benefit from their own work.

    “The concern among creators is that AI could undermine their economic survival because it is trained on their work,” stated Dana Rao, Adobe’s general counsel and chief trust officer. “That’s the existential worry faced by the community. At Adobe, we commit to providing the best technology to our creators while advocating for responsible innovation.”

    Certain US lawmakers are drafting proposals to tackle the issue. Last year, a bipartisan group of senators introduced a discussion draft of the NO FAKES Act, a bill aimed at safeguarding creators. Another proposal in the House is known as the No AI Fraud Act.

    However, digital rights advocates and academics have cautioned that this legislation is far from ideal, leaving significant loopholes in certain areas while also potentially creating unintended consequences in others.

    Numerous concerns arise about safeguarding free expression, such as the extent to which individuals can utilize others’ likenesses for educational or other non-commercial purposes, as well as the rights concerning a person’s image posthumously — which is particularly relevant in recreating deceased actors in films or music and could ultimately disadvantage living performers, as noted by Jennifer Rothman, an intellectual property expert and law professor at the University of Pennsylvania.

    “This creates opportunities for record labels to cheaply produce AI-generated performances, including those of deceased celebrities, and take advantage of this lucrative option over costlier performances by living individuals,” Rothman wrote in a blog post in October regarding the NO FAKES Act.

    The ongoing discussion about publicity rights in Congress is part of a much larger initiative by lawmakers to grapple with AI, an issue that is unlikely to find resolution in the near future — reflecting the complexities involved.

  • The publication of the chatbot ChatGPT

    So far, users can only communicate with the ChatGPT bot using the keyboard. But that could change. Real conversations or reading a bedtime stories should be possible in the future.

    Anyone who communicates with the chatbot GPT has so far had to rely on the keyboard. In the future, the program should also be able to react to voice input and uploaded photos. The developer company OpenAI is still keeping to itself when exactly this future scenario will become reality. The only thing that is certain is that after an update in the initially next few weeks, the new offer will only be available for the paid versions of the program. artificial intelligence chatbot

    Discuss photos with ChatGPT, artificial intelligence chatbot

    According to OpenAI, the new technology opens up numerous possibilities for creative applications and places a strong focus on accessibility. The company explained that users now have the opportunity to take photos during their trips, upload them to the platform and then discuss the specifics of the region.

    In addition, the AI ​​​​can respond to photos of the refrigerator contents by generating recipe suggestions, and the program’s voice function even allows bedtime story telling.

    Spotify wants to use ChatGPT for podcast translations

    These new features will initially be available to ChatGPT Plus and Enterprise users in the next few weeks and will then be made available to both Apple and Android smartphones. To make the conversations more realistic, OpenAI worked with professional voice actors.

    At the same time, the Swedish streaming service Spotify has announced that it will use OpenAI technology to translate podcasts into different languages. The voice and language style of the original version is retained. Translations of English-language podcasts into Spanish, French and German are Currently planned.

    AI could bring billions to the German economy, artificial intelligence chatbot

    According to a study presented yesterday in Berlin, systems with generative artificial intelligence (AI) functions could contribute around 330 billion euros to the value creation of the German economy in the future. This could be achieved if at least half of companies use appropriate technologies, according to a study by the research institute IW Consult on behalf of Google. IW Consult is a subsidiary of the German Economic Institute(IW) in Cologne.

    Generative AI is a variant of artificial intelligence that can be used to create (“generate”) new, original content. The publication of the chatbot ChatGPT by the start-up OpenAI in November 2022 is seen as a breakthrough for generative AI. For six months now, Google has been offering its own dialogue system for generative AI, Bard, which competes with ChatGPT. artificial intelligence c

    In just five days after its launch, Chat GPT has garnered over a million users, creating a significant impact in the tech and internet realms. This brain child of OpenAI, Chat GPT, is set to expand rapidly and make waves in the market.

    OpenAI’s latest creation, Chat GPT, is built upon GPT (Generative Pre-Training Transformer) and is designed to mimic human-like conversations through an AI-powered chatbot. Chat GPT functions as a knowledgeable digital assistant, providing detailed responses to user prompts. Although Chat GPT is expected to bring about a revolution in the global economy, it does have some constraints. In this post, we will delve into what Chat GPT is, how it works, its nuances, and everything you need to know about this ground breaking innovation.

    What is Chat GPT?

    To put it simply, Chat GPT is an AI-driven Natural Language Processing tool that allows users to interact with a chatbot and receive coherent responses to their queries. Its applications are wide-ranging, from generating emails and writing essays to coding and answering questions.

    Chat GPT possesses the capacity to engage in natural, interactive conversations and provide human-like responses. Its extensive language capabilities allow it to predictively string together words.

    The machine learning model employed by Chat GPT, known as RLHF (Reinforcement Learning with Human Feedback), trains the system to follow instructions and provide human-acceptable responses. Now that we understand what Chat GPT is, let’s explore its benefits, uses, and limitations to gain a comprehensive understanding of this popular technology.

    Who Created Chat GPT?

    Chat GPT is the brainchild of OpenAI, a private research laboratory dedicated to developing AI and conducting extensive research for the betterment of humanity. Headquartered in San Francisco, the company was founded through the collaboration of prominent figures such as Sam Altman, Elon Musk, Peter Thiel, Reid Hoffman, Ilya Sutskever, and Jessica Livingston.

    Why is Chat GPT Dangerous?

    The limitations of Chat GPT lie in its potential to convincingly generate incorrect or biased information, as well as its inability to discern between benign and harmful prompts. This makes Chat GPT hazardous and susceptible to being exploited for malicious activities, posing security risks in the digital space.

    How is Chat GPT Different from a Search Engine?

    Chat GPT distinguishes itself from a search engine in its interactive nature and the detailed responses it provides to user prompts based on training data. In contrast, search engines index web pages on the internet to aid users in finding specific information.

    Chat GPT functions as an AI capable of generating detailed essays, while search engines primarily direct users to the source webpage. Additionally, as of 2021, Chat GPT’s training is limited to text data, making it a less comprehensive resource compared to conventional search engines with access to the latest data.

    How Does Chat GPT Differ from Microsoft Bing?

    There are disparities between Microsoft Bing and Chat GPT. The basic notable version of Chat GPT is less powerful than Bing Chat, which makes use of the advanced GPT-4 large language model. Microsoft Bing also has access to the latest information, whereas Chat GPT’s data is limited to that before 2021. Unlike Chat GPT, Bing Chat includes footnotes linking back to the websites from which it sourced its information.

    Is Chat GPT Capable of Passing Standard Examinations?

    Indeed, Chat GPT is capable of successfully negotiated several standard examinations. To demonstrate this, a professor at the University of Pennsylvania’s Wharton School used Chat GPT in an MBA exam and found its responses to be quite impressive, earning grades ranging from B to B- . The professor particularly appreciated the detailed explanations and responses, especially in sections on basic operations and process analysis.

    How is Chat GPT Used By People?

    Chat GPT is widely popular for its versatility and is utilized for various purposes, adaptable to integration with third-party applications. Its applications range from providing simple solutions to coding.

    Some notable applications of Chat GPT include:

    • Composing detailed essays
    • Creating applications
    • Writing code
    • Generating content
    • Drafting letters, resumes, and cover letters
    • Composing email messages

    Is there a way to identify content generated by ChatGPT?

    The need for tools to identify ChatGPT text is increasing due to concerns about students using it for cheating. OpenAI has developed a tool to address this issue, but it has limitations and can only identify about 26 percent of the content, making it relatively weak. However, it’s still possible to detect ChatGPT content.

    While there isn’t a specific tool known to identify content generated by ChatGPT, humans can easily distinguish between ChatGPT-generated content and human-written content. ChatGPT-generated content often lacks a human touch, is verbose, robotic, and may not fully understand humor or sarcasm.

    Can ChatGPT be used with Whatsapp?

    ChatGPT can be integrated into Whatsapp accounts as it supports third-party integration. This integration aims to improve performance, allowing the Chatbot to respond to WhatsApp messages. The integration process is simple and can be done using GitHub.

    To integrate ChatGPT with WhatsApp, you can follow these steps: Download the zip file, open the terminal, select the “WhatsApp-gpt-main” file, run the “server.py” program from the terminal, enter ‘Is,’ click to proceed, and enter “python server.py.” Your contact number will be set up automatically on the OpenAI chat page. Once completed, you can find ChatGPT on your WhatsApp account and test its features.

    How can you monetize ChatGPT?

    One can generate income by utilizing ChatGPT in their business. One lucrative option is email affiliate marketing, which leverages ChatGPT’s excellent writing abilities to create persuasive and compelling emails with call-to-action links for products or services.

    To do this, individuals can participate in affiliate programs such as ConverrKit, Amazon, or Shopify to kickstart an email affiliate marketing campaign targeting potential clients. They can use lead magnets or other techniques to encourage people to sign up for their email list.

    How is ChatGPT different from Google?

    While ChatGPT and Google offer similar services, they are fundamentally different from each other. ChatGPT is an AI-powered chatbot proficient in natural language processing and provides detailed responses to user prompts, resembling human conversation. Offline, Google is a search engine that retrieves web pages with relevant information in response to user queries.

    How does ChatGPT generate code?

    While ChatGPT isn’t primarily designed for coding, it can effectively be used for this purpose. ChatGPT can analyze and comprehend code fragments and create new code based on user input using machine learning techniques. The process involves providing a prompt or description of the code users want to generate, which ChatGPT will subsequently review and use to generate the corresponding code.

    What are the benefits of using ChatGPT for coding?

    Utilizing ChatGPT for coding offers several advantages, including faster coding, enhanced accuracy, and optimized productivity. ChatGPT can quickly generate code solutions, analyze large amounts of code, and provide precise suggestions, allowing coders to focus on higher-level tasks.

    What are the steps to code using ChatGPT?

    Coding with ChatGPT is straightforward and involves the following steps: Choose a programming language, provide a prompt specifying the desired functionality of the code snippet, and receive the produced code fragment, which you can then copy and paste into your project. Some compatible programming languages for coding with ChatGPT include JavaScript, Python, and Java.

    Supply a Prompt: ChatGPT responds to your prompt by generating a code snippet. Provide a prompt that describes the functionality you want in the code snippet.

    For example, you can give a prompt like: “Write a function that arranges an array of numbers from smallest to largest.”

    Create Some Code: After receiving the prompt, ChatGPT will create a code fragment based on the description. You can then copy and paste the resulting code displayed on your ChatGPT chat screen into your project.

    Will ChatGPT Replace Programmers?

    No, ChatGPT will not entirely take over the roles and responsibilities of programmers. While ChatGPT may automate tasks, it will not replace the human intellect and critical thinking necessary for programming work. ChatGPT can automate some programming aspects like generating code, solving issues, and handling documentation. It can also learn from vast amounts of data and coding to produce new code similar to existing examples. However, the creative and complex thinking required for developing intricate software programs cannot be replaced by ChatGPT, despite its ability to automate certain programming tasks .

    Can ChatGPT Replace Tech Jobs?

    ChatGPT aims to automate tasks rather than replace the workforce. Not all tech jobs are at risk of being replaced by ChatGPT. This AI tool is designed to streamline some time-consuming and repetitive operations, allowing tech professionals to focus on more complex projects. , ChatGPT can enhance productivity by generating code snippets, test cases, and automating documentation. It’s important to note that while some job responsibilities may change due to automation, they may not necessarily be eliminated.

    Will ChatGPT Kill Google?

    ChatGPT may bring revolutionary changes to how the internet is used, but it will not eliminate Google. While both ChatGPT and Google may offer similar services, they operate differently and serve different purposes. Google is a search engine that crawls billions of web pages, indexes terms and phrases, and provides information to users. On the other hand, ChatGPT is a natural language processing model trained to function like a chatbot. However, it is limited in its information as it’s trained on data up to 2021, lacking current events data Google, in contrast, captures the latest events and provides up-to-date information to users.

    Discovering the Benefits of ChatGPT

    The benefits of ChatGPT are expected to have a significant impact on various industries, including business and technology. It is particularly useful for a range of NLP-related activities. ChatGPT has the ability to understand and provide human-like responses to a wide variety of queries and prompts due to its training on substantial amounts of data.

    Let’s Examine Some of the Potential Benefits of ChatGPT:

    Improved Efficiency: One of the main advantages of ChatGPT is its automation capabilities, which can free up human workers from time-consuming and repetitive tasks, allowing them to focus on more crucial and valuable endeavors. For example, businesses can use ChatGPT to address customer inquiries and provide better customer service.

    Cost Savings: ChatGPT’s automation feature allows businesses to reduce labor costs while increasing accuracy and reducing errors, particularly beneficial for enterprises in competitive markets.

    Enhanced Customer Experience: Businesses can create more personalized and human-like interactions with customers, leading to higher levels of customer satisfaction and loyalty.

    Improved Decision-Making: ChatGPT enables businesses to access, process, and analyze large volumes of data in real-time, leading to more informed decision-making and effective use of data.

    Market Differentiation: Leveraging ChatGPT’s intelligent automation technology can give businesses an edge over competitors by enhancing decision-making, improving customer service, and streamlining repetitive operations.

    Describing the Constraints of ChatGPT

    Even though ChatGPT is known for its groundbreaking qualities, it has specific limitations.

    Response Inaccuracy:

    ChatGPT requires extensive language training to provide accurate and error-free responses. However, due to its newness and potential lack of thorough training, this AI chatbot may sometimes provide inaccurate information.

    Data Training Restrictions and Bias Challenges:

    Similar to other AI models, one of ChatGPT’s challenging is its limitations reliance on training data. Combined with data bias, this factor can negatively impact the model’s output. ChatGPT may demonstrate biased responses when trained on data from underrepresented groups. The best solution is to increase the model’s data transparency to reduce bias in this technology.

    Sustainability:

    A major concern with ChatGPT is its long-term viability, particularly because it is open and free to use.

    Output Quality Depends on Input:

    One of ChatGPT’s significant limitations is its reliance on input quality to generate output. The quality of responses is based on the quality of user queries. Expert queries lead to superior responses, while ordinary queries result in ordinary responses.

    Highlighting the Significance of ChatGPT in 2023 and Beyond

    Intelligent automation and ChatGPT are powerful technologies that can revolutionize business operations. Companies that adopt and integrate these technologies will experience rapid transformation and maintain competitiveness, meeting market expectations satisfactorily. The importance of ChatGPT and its correct implementation will transform various sectors. AI’s automation feature will bring about transformation in fields incorporating technology and AI into their operations.

    ChatGPT’s significance will be felt in nearly every industry, including the following:

    • Banking and Finance
    • Healthcare
    • Manufacturing
    • E-commerce and Retail
    • Telecommunications
    • Transport and logistics
    • EducationTourism and hospitality
    • Real estate
    • Entertainment
    • Marketing and advertising

    What Lies Ahead for ChatGPT?

    ChatGPT has experienced tremendous growth and is poised to have a significant impact on various fields, from education to the job market, to businesses, and our daily lives. With its primary objective of automating repetitive tasks, providing real-time data analysis, and more , the future of ChatGPT is set to bring about transformation in how resources and time are utilized.

    The future of ChatGPT can mostly be seen in its ultimate goal. From answering everyday questions to coding to providing high-quality responses, the future of the AI ​​world appears to be here already. ChatGPT is undoubtedly a disruptive innovation, comparable to Google, enabling more sophisticated and impressive tasks such as writing answers, essays, emails, or letters.

    Thus, a significant change we can expect in the future of ChatGPT is a shift in user behavior, as they increasingly turn to ChatGPT rather than Google or other search engines. The future of ChatGPT is anticipated to involve ongoing research and growth, as well as deeper integration into numerous platforms and applications. The key enhancements in ChatGPT’s future will focus on improving its language generation and making it more accessible and user-friendly for various applications.

    Applications of Chat GPT

    The applications of ChatGPT will extend beyond writing and coding, benefiting a wide range of industries. Despite its risks and challenges, the application of ChatGPT is a significant advancement in the field of Artificial Intelligence. Here are a few sectors that can experience substantial progress with the intelligent applications of ChatGPT.

    Applications of ChatGPT in Financial Technology and Banking

    The advanced features of ChatGPT offer substantial potential for the finance and banking industry to streamline their operations. Financial technology and banking can effectively enhance their processes through the use of ChatGPT.

    In addition, banking and financial institutions can decrease expenses and offer automated, more personalized services to their clients. AI’s ability to process and integrate large volumes of data allows banks to generate more information and offer personalized financial guidance and support to customers, improving the services they provide. For example, this includes advice on portfolio management, investment, life insurance underwriting, risk management, and compliance.

    Applications of ChatGPT in Manufacturing

    The use of ChatGPT is set to revolutionize the manufacturing industry in various ways. ChatGPT’s implementation can help optimize plans, reduce risks, schedule predictive maintenance, and enhance communication, making them more efficient and faster. One of the most significant uses of ChatGPT in manufacturing is its ability to ensure quality control by identifying inconsistencies in available information. The intelligent application of ChatGPT can help manufacturers make better decisions, improve product quality, reduce costs, and enhance customer satisfaction.

    Applications of ChatGPT in Education

    ChatGPT could be a game-changer in transforming traditional educational methods and learning approaches. With the introduction of ChatGPT, there is a need to reconsider traditional methods and restructure education in the era of revolutionary AI tools and technologies.

    ChatGPT can greatly benefit students by guiding them in conducting in-depth research on specific topics, directing them to quick solutions. Additionally, ChatGPT can automate the research process by helping students select research topics, find information for assignments, identify relevant study materials, and perform other tasks. The use of ChatGPT simplifies the learning process, makes study resources accessible, and provides a personalized learning experience.

    Applications of ChatGPT in Cybersecurity

    ChatGPT has garnered significant interest across various industries, particularly in the cybersecurity sector, where its applications have proven highly effective for various security tasks such as cybersecurity awareness training, threat detection, data analysis, and incident response. It is particularly valuable for penetration testers and ethical hackers, enabling them to detect vulnerabilities, optimize time, automate workflows, and provide suggestions for the organization’s future security protocols.

    This AI tool is also helpful in generating reports. All you need to do is formulate your query in a specific manner, think creatively, and produce something unique and creative, and within seconds, you will have your solution. This enhances efficiency and reduces time spent on tasks.

    Applications of ChatGPT in Healthcare and Medicine

    While Artificial Intelligence has significantly advanced the healthcare sector in recent years, the potential of ChatGPT could further enhance healthcare operations. ChatGPT’s capabilities make it an ideal tool for various healthcare applications, from automated services to generating human-like responses to a wide range of queries .

    The use of ChatGPT in delivering personalized treatment programs and remotely monitoring patients would be particularly valuable. Major applications and interventions of ChatGPT in healthcare and medicine include virtual assistance in telemedicine, providing support for patients’ treatment processes, including appointment scheduling, treatment follow-up , and health information management.

    The growth of telemedicine has expanded access to treatment and medications from the comfort of one’s home. ChatGPT can facilitate remote patient health management in this area.

    Clinical Decision Support: ChatGPT can offer healthcare providers immediate, evidence-based recommendations for improved patient outcomes, including suggesting appropriate treatment options for specific conditions, alerting about potential drug interactions, and providing clinical recommendations for complex medical cases.

    ChatGPT can aid physicians by offering reliable support, saving time, reducing errors, and enhancing patient care. Medical Recordkeeping: The feature of ChatGPT automating patient interaction summaries and medical history can accelerate the medical record-keeping process.

    Healthcare professionals can easily use ChatGPT to share their notes, and the app can summarize essential details such as diagnoses, symptoms, and treatments. Another important application of ChatGPT in this context is its ability to intelligently retrieve important information from patient records for healthcare professionals.

    Medical Translation: One of the key uses of ChatGPT in the field of medicine is its ability to provide real-time translation, facilitating better communication between healthcare providers and patients. Some medical terms or jargon can be challenging for ordinary individuals to understand, but not for medical professionals.

    Due to its powerful language processing capabilities, ChatGPT simplifies this task for patients, enabling them to have a comprehensive understanding of their health issues and helping them access the best treatment and medications. We have thoroughly covered the core aspects of what ChatGPT is and how it has become an integral component of the modern AI era.

    Frequently Asked Questions:

    What is ChatGPT?

    ChatGPT is the latest AI-powered language model developed by OpenAI. It is a generative AI tool designed to follow prompts and produce detailed responses. It functions as a chatbot with advanced features, capable of engaging in human-like conversations. The model is trained using a large amount of data and fine-tuned through supervised and reinforcement learning.

    What are the Benefits of ChatGPT?

    ChatGPT offers several benefits, including:

    Improved Efficiency: ChatGPT enhances the accuracy and efficiency of Natural Language Processing-based tasks.

    Swift and Accurate Responses: ChatGPT quickly provides precise answers to various queries.

    Understanding Natural Language Complexity: ChatGPT assists in tasks that require understanding natural language and generating insights.

    Cost-Effective: ChatGPT is accessible to anyone without significant expenses.

    Enhanced Customer Satisfaction: Its human-like conversational capabilities boost customer engagement and provide optimized solutions for businesses.

    What are the main limitations of ChatGPT?

    Plausible yet Inaccurate Responses: ChatGPT may produce responses that sound accurate but are actually incorrect.

    Sensitivity to Changes: ChatGPT is sensitive to slight variations in input prompts and may respond to prompts that it initially claimed not to know.

    Repetitive Language Use and Lengthy Responses: Due to its training data, ChatGPT may become verbose and excessively use certain phrases.

    Security Risks: ChatGPT may respond to harmful prompts and exhibit biased behavior.

    Lack of Human Touch: Its responses may lack emotional depth.

    Missing Source Information: ChatGPT aggregates insights from massive text data but does not explicitly provide sources.

    Guesswork: At times, the model may make an educated guess about the user’s intention when faced with ambiguous queries.

    Limited Data: The ChatGPT model is trained on text data up to 2021, lacking information on more recent events.

    Is ChatGPT Free?

    Yes, ChatGPT is free to use and can be accessed by anyone interested. OpenAI also offers a paid version with a monthly subscription fee of US$20, providing quicker response generation and general access during peak times

    What are the Uses of ChatGPT?

    ChatGPT has various applications due to its ability to automate tasks and enhance efficiency:Generate ideas and brainstormReceive personalized suggestionsUnderstand complex topicsAid in writingSummarize recent researchGet coding and debugging supportConvert textExecute programming tasks such as codingUse as a virtual assistantSolve complex arithmetic problemsIntegrate with chatbots for improved customer service

    What is the Importance of ChatGPT?

    ChatGPT’s capability to comprehend natural language and respond in a conversational manner similar to humans makes it an essential tool for businesses to incorporate in their customer engagement strategies through chatbots and other virtual assistants. As an AI tool, ChatGPT has the potential to revolutionize human-technology interaction, making it an important tool in a technology-driven world. Some compelling factors highlighting the importance of ChatGPT include:

    Personalization: Both individuals and businesses can customize ChatGPT to meet specific needs in order to enhance efficiency and automate tasks.

    Efficiency: ChatGPT can significantly reduce manual workloads and handle large volumes of queries rapidly thereby, enhancing productivity and efficiency.

    Scalability: ChatGPT does not require substantial additional resources to cater to the needs of growing businesses or organizations.

    Accessibility: ChatGPT is not constrained by location and can be accessed from anywhere, providing users with hassle-free instant support.

    Innovation: ChatGPT serves as a significant example of how AI and technology can evolve over time and bring about transformative changes in the world.

    What does the term “In Capacity” mean while using ChatGPT?

    The term “In Capacity” simply indicates that the application or website is experiencing traffic from users. When a large number of users access the server, it becomes unable to process their requests instantly, leading to the website displaying “In Capacity” and advising users to return at another time.

    What are the advantages of ChatGPT over other chatbots?

    ChatGPT offers several advantages:Replicates human conversationDeveloped based on an advanced language modelAdvanced GPT modelWide range of applications and benefitsCompatible with plugins for extensionCapable of fine-tuning

    What is the Future of ChatGPT?

    The future of ChatGPT appears promising, with enhancements in its language generation capabilities. OpenAI, the developer of ChatGPT, is positioned to create more advanced versions of the GPT model with improved potential and performance. ChatGPT can continue to be integrated into various virtual assistants and chatbots by businesses and organizations, solidifying its role as a critical tool in the future.

    OpenAI valuation recently exploded to $157 billion

    OpenAI, the creator of artificial intelligence, is potentially facing a significant and challenging reckoning regarding its nonprofit roots, even though its valuation has recently surged to $157 billion.

    Tax experts specializing in nonprofit organizations have been closely monitoring OpenAI, the developer of ChatGPT, since last November when the board removed and then reinstated CEO Sam Altman.

    Some believe that the company may have now reached—or surpassed—the limits of its corporate structure, which is organized as a nonprofit designed to advance artificial intelligence for the benefit of “all of humanity,” although it has for-profit subsidiaries under its management.

    Jill Horwitz, a professor at UCLA School of Law who focuses on law and medicine and has researched OpenAI, stated that when there are conflicting interests in a collaborative endeavor between a nonprofit and a for-profit entity, the charitable mission must always take precedence.

    “It is the duty of the board first, and then the regulators and the judicial system, to ensure that the commitment made to the public to pursue the charitable interest is honored,” she commented.

    Altman recently acknowledged that OpenAI is contemplating a corporate restructuring, but he did not provide any detailed information.

    However, a source informed The Associated Press that the organization is exploring the option of transforming OpenAI into a public benefit corporation.

    No definitive choice has been reached by the board, and the timeline for this transition remains undetermined, according to the source.

    If the nonprofit were to lose authority over its subsidiaries, some experts believe that OpenAI might be required to compensate for the interests and assets that previously belonged to the nonprofit.

    Thus far, most analysts concur that OpenAI has strategically managed its relationships between its nonprofit and various other corporate entities to prevent that from occurring.

    Nevertheless, they also view OpenAI as vulnerable to examination from regulatory bodies, including the Internal Revenue Service and state attorneys general in Delaware, where it is incorporated, and California, where it conducts operations.

    Bret Taylor, chair of the board of the OpenAI nonprofit, stated in a press release that the board is committed to fulfilling its fiduciary responsibilities.

    “Any potential restructuring would guarantee that the nonprofit continues to exist and prosper while receiving full value for its current interest in the OpenAI for-profit, along with an improved capacity to achieve its mission,” he mentioned.

    Here are the primary inquiries from nonprofit specialists:

    How could OpenAI transition from a nonprofit model to a for-profit one?

    Nonprofit organizations that are tax-exempt may sometimes opt to alter their status.

    This process requires what the IRS terms a conversion.

    Tax regulations stipulate that money or assets contributed to a tax-exempt entity must remain within the realm of charity.

    If the original organization becomes a for-profit entity, a conversion typically necessitates that the for-profit pays fair market value for the assets to another charitable organization.

    Even if the nonprofit OpenAI continues to operate in some form, some experts assert that it would need to be compensated fair market value for any assets transferred to its for-profit subsidiaries.

    In OpenAI’s case, several questions arise: What assets are owned by the nonprofit? What is the valuation of those assets?

    Do those assets include intellectual property, patents, commercial products, and licenses? Furthermore, what is the value of relinquishing control over the for-profit subsidiaries?

    If OpenAI were to reduce the control its nonprofit has over its other business entities, a regulator might require clarification on those matters.

    Any alteration to OpenAI’s structure will necessitate compliance with the laws governing tax-exempt organizations.

    Andrew Steinberg, a counsel at Venable LLP and a member of the American Bar Association’s nonprofit organizations committee, remarked that it would be an “extraordinary” measure to modify the structure of corporate subsidiaries of a tax-exempt nonprofit.

    “It would involve a complex and detailed process with numerous legal and regulatory factors to consider,” he added. “However, it is not impossible.”

    Is OpenAI fulfilling its charitable objective?

    To obtain tax-exempt status, OpenAI had to submit an application to the IRS outlining its charitable purpose.

    OpenAI shared with The Associated Press a copy of that September 2016 application, which illustrates how drastically the group’s plans for its technology and framework have altered.

    OpenAI spokesperson Liz Bourgeois stated in an email that the organization’s missions and objectives have remained steady, even though the methods of achieving that mission have evolved alongside technological advancements.

    When OpenAI incorporated as a nonprofit in Delaware, it specified that its purpose was “to provide funding for research, development, and distribution of technology related to artificial intelligence.”

    In its tax filings, it also described its mission as creating “general-purpose artificial intelligence (AI) that safely benefits humanity, unconstrained by a need to generate financial return.”

    Steinberg indicated that the organization can change its plans as long as it accurately reports that information on its annual tax filings, which it has done.

    Some observers, including Elon Musk, a former board member and early supporter of OpenAI who has also filed a lawsuit against the organization, express doubts about its commitment to its original mission.

    Geoffrey Hinton, known as the “godfather of AI” and a co-recipient of the Nobel Prize in physics on Tuesday, has voiced concerns regarding the transformation of OpenAI, proudly mentioning that one of his past students, Ilya Sutskever, who co-founded the organization, played a role in Altman’s removal as CEO before his reinstatement.

    “OpenAI was established with a strong focus on safety. Its main goal was to create artificial general intelligence while ensuring its safety,” Hinton noted, adding that “over time, it became clear that Sam Altman prioritized profits over safety, which I find regrettable.”

    Sutskever, who previously led OpenAI’s AI safety team, departed from the organization in May and has launched his own AI venture. OpenAI, on its side, takes pride in its safety accomplishments.

    Will OpenAI’s board members manage to prevent conflicts of interest?

    This question ultimately pertains to the board of OpenAI’s nonprofit and to what degree it is working to advance the organization’s charitable goals.

    Steinberg indicated that regulators assessing a nonprofit board’s decision will mainly focus on how the board reached that decision rather than whether the conclusion itself was optimal.

    He explained that regulators “typically honor the business judgment of board members as long as the transactions don’t involve conflicts of interest for any of them and they do not have a financial stake in the transaction.”

    The possibility of any board members benefiting financially from alterations to OpenAI’s structure could also draw the attention of nonprofit regulators.

    Regarding inquiries about whether Altman might receive equity in the for-profit subsidiary during any potential restructuring, OpenAI board chair Taylor stated, “The board has discussed whether offering Sam equity could be beneficial to the company and our mission, but specific figures have not been addressed, and no decisions have been made.”

    AI search tool mimics some features of a traditional search engine but with a more conversational approach

    OpenAI has incorporated a search engine into its chatbot ChatGPT, enabling users to access current information regarding news, sports, and weather.

    This move marks the AI company’s first direct challenge to Google’s dominance in search, which was first announced in May.

    The new feature will initially be available to paying subscribers, yet OpenAI noted that it will also be accessible to free ChatGPT users in the future.

    The initial iteration of ChatGPT, launched in 2022, was trained on vast amounts of online text but was unable to answer questions about recent events outside its training data.

    In May, Google revamped its search engine, frequently featuring AI-generated summaries at the top of search results. These summaries aim to rapidly respond to user queries, potentially reducing the need for users to visit additional websites for further information.

    Google’s redesign followed a year of testing with a limited user group, but it still generated inaccurate results, highlighting the risks of relying on AI chatbots that can produce errors, often referred to as hallucinations.

    As part of OpenAI’s strategy to deliver current information, the company has collaborated with several news and data organizations, which will see their content included in results, complete with links to original sources, thereby mimicking the experience of a traditional search engine.

    OpenAI has partnered with various news organizations and publishers, such as the Associated Press, Conde Nast, the Financial Times, Hearst, Le Monde, News Corp, and Reuters. The organization anticipates adding more partners in the future.

    “The search model is a refined version of GPT-4o, enhanced using innovative synthetic data generation methods, including distilling outputs from OpenAI o1-preview,” the company mentioned in a blog post announcing the new search feature.

    “ChatGPT search utilizes third-party search providers along with content supplied directly by our partners to deliver the information users seek.”

    OpenAI’s advanced voice feature is now accessible in Europe. Here’s what it allows you to do.

    The creator of ChatGPT faced controversy after one of its voice options was similar to that of actress Scarlett Johansson in the 2013 film “Her.”

    On Tuesday, OpenAI announced that its Advanced Voice function is available in Europe, following a launch delay that may have been linked to regulatory requirements in the region.

    The Advanced Voice Mode was introduced in May and offers users the ability to communicate with the large language model (LLM) using their voice, meaning you can speak to ChatGPT via your mobile device, laptop, or PC microphone.

    Although the voice mode was launched in the United Kingdom earlier this month, it only reached the European continent now, possibly due to concerns surrounding Europe’s General Data Protection Regulation (GDPR), which mandates that certain products undergo review by the EU data commissioner prior to launch.

    “Europe is an important market for us, and we are dedicated to collaborating with European institutions to provide our products here,” an OpenAI spokesperson stated to Euronews Next earlier this month.

    OpenAI confirmed the tool’s availability in Europe in response to a query on the social media platform X, which inquired about its European rollout.

    “Indeed, all Plus users in the EU, Switzerland, Iceland, Norway, and Liechtenstein now have access to Advanced Voice,” OpenAI remarked in a post.

    The Advanced Voice feature was made accessible to OpenAI Plus subscribers last night but is still unavailable for users with free accounts.

    Advanced Voice gained attention when it was revealed that a voice named Sky closely resembled that of actress Scarlett Johansson in the film “Her.”

    Johansson’s legal team sent OpenAI letters asserting that the company lacked the authorization to use the voice. Consequently, OpenAI has temporarily halted the use of the Sky voice.

    Users have the option to request the AI to modify its accent, for instance, asking for a southern accent if they dislike the current sound.

    It is also interactive, enabling users to instruct it to speed up or slow down, and it will respond if interrupted.

    ChatGPT’s Advanced Voice Mode launched in the UK this week but has not yet been introduced in the European Union. While there have been rumors of a “ban,” it’s believed that OpenAI may have delayed the feature due to concerns that its emotion-detection capabilities might contravene the EU’s AI act, which is the first significant legislation of its kind regarding AI.

    The Advanced Voice Mode (which facilitates “live” conversations where the chatbot behaves more like a human) can interpret non-verbal signals like speech pace to provide an emotional response. The EU’s AI Act bans “the use of AI systems to infer the emotions of a natural person.”

    However, how likely is it that such regulations will inhibit innovation? And what type of regulation is considered “right” for businesses to engage with AI? The Stack consulted experts to explore these questions.

    It remains uncertain whether Advanced Voice Mode would indeed be banned under these regulations, suggesting that OpenAI might be exercising caution, according to Curtis Wilson, a staff data scientist at app security firm Synopsys Software Integrity Group.

    Wilson explains that similar “careful” responses were observable in the years following the implementation of the General Data Protection Regulation (GDPR).

    Wilson states: “It’s ambiguous if the EU AI Act actually prohibits Advanced Voice Mode at all. The aspect most frequently referenced is Article 5, especially paragraph 1f, which forbids systems from inferring emotions. However, this paragraph specifies ‘in the areas of workplace and educational institutions,’ and the associated recital clarifies that the concern is about poorly calibrated systems causing discrimination against minority groups when the model misreads their emotions.”

    Companies will likely avoid being the “guinea pig” and risk breaching such regulations, potentially opening up opportunities for businesses focused on compliance as more such regulations arise globally, according to Wilson.

    “One major directional shift I foresee with the influx of global regulations in the coming years is the emergence of a robust AI regulatory compliance sector to assist companies in navigating a complex global AI oversight environment.”

    Wilson feels that the core issue has been the ambiguity, which holds significant lessons for future regulations.

    He mentions: “Clarity is forthcoming; Article 96 mandates that the Commission provide guidelines for practical enforcement by August 2026—18 months after the rules on prohibited systems actually take effect. These guidelines should have been established beforehand.

    “Developers need to be informed about what is and isn’t covered by the regulation—ideally without needing to hire external companies or legal firms. This is why I hope to see more clear, concise, and accurate guidelines (that are updated over time to keep pace with evolving technologies) in the future.”

    Compliance in the era of Generative AI

    This case exemplifies one of the principal challenges that global companies will confront in the age of AI, according to Luke Dash, CEO of compliance firm ISMS.online.

    As more regulations concerning AI are implemented, businesses will encounter difficulties if these regulations lack uniformity across various regions.

    Dash states: “Divergent regulations among different areas will obstruct AI deployment and complicate compliance for organizations operating outside these locations. This fragmentation will compel companies to formulate region-specific strategies, which could potentially hinder global advancements while also increasing the risk of non-compliance and inconsistent execution.

    “Upcoming regulations should aim to harmonize international standards to establish a more cohesive landscape.”

    While regulations are frequently perceived as obstacles to growth, Dr. Kimberley Hardcastle, Assistant Professor at Northumbria University, argues that in the context of AI, regulation will be vital for encouraging acceptance of the technology.

    Consequently, regulation will play a key role in embedding AI within enterprises and society as a whole, she asserts.

    “Research findings, including those from the European Commission, show that effectively structured regulations not only address risks linked to bias and discrimination in AI but also promote economic growth by establishing a level playing field for innovation,” Dr. Hardcastle explains. “Thus, a solid regulatory framework is not simply an impediment, but rather a catalyst that can encourage sustainable and fair AI adoption.”

    Dr. Hardcastle contends that due to its rapid evolution, AI may necessitate a new form of regulation capable of adapting to emerging challenges with “real-time adjustments.”

    Regulators also need to take lessons learned from the era of social media into account, she emphasizes.

    She remarks, “The advancement of generative AI mirrors the initial growth of the social media sector, where swift innovation frequently outstripped regulatory responses, resulting in considerable societal impacts.

    “Similarly, the current generative AI landscape showcases a competitive atmosphere among firms striving to achieve artificial general intelligence, often at the cost of responsible development and ethical standards. This trend raises pressing concerns regarding potential harms, such as biases in AI outputs and misuse of technology.

    “To avoid repeating past mistakes, it is essential to draw lessons from the social media experience, and stakeholders must establish proactive regulatory frameworks that emphasize safety and ethics, so that the quest for technological progress does not jeopardize societal well-being.”

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