This article explores the ethical problems arising from the use of ChatGPT as a kind of generative AI and suggests responses based on the Human-Centered Artificial Intelligence (HCAI) framework. The HCAI framework is appropriate because it understands technology above all as a tool to empower, augment, and enhance human agency while referring to human wellbeing as a grand challenge, thus perfectly aligning itself with ethics, the science of human flourishing. Further, HCAI provides objectives, principles, procedures, and structures for reliable, safe, and trustworthy AI which we apply to our ChatGPT assessments. The main danger ChatGPT presents is the propensity to be used as a weapon of mass deception (WMD) and an enabler of criminal activities involving deceit. We review technical specifications to better comprehend its potentials and limitations. We then suggest both technical (watermarking, styleme, detectors, and fact-checkers) and non-technical measures (terms of use, transparency, educator considerations, HITL) to mitigate ChatGPT misuse or abuse and recommend best uses (creative writing, non-creative writing, teaching and learning). We conclude with considerations regarding the role of humans in ensuring the proper use of ChatGPT for individual and social wellbeing.

Large language models have gained considerable interest for their impressive performance on various tasks. Among these models, ChatGPT developed by OpenAI has become extremely popular among early adopters who even regard it as a disruptive technology in many fields like customer service, education, healthcare, and finance. It is essential to comprehend the opinions of these initial users as it can provide valuable insights into the potential strengths, weaknesses, and success or failure of the technology in different areas. This research examines the responses generated by ChatGPT from different Conversational QA corpora. The study employed BERT similarity scores to compare these responses with correct answers and obtain Natural Language Inference(NLI) labels. Evaluation scores were also computed and compared to determine the overall performance of GPT-3 \& GPT-4. Additionally, the study identified instances where ChatGPT provided incorrect answers to questions, providing insights into areas where the model may be prone to error.

Customers shopping for a used car can sometimes feel overwhelmed digging through countless specs and reviews, but CarMax, the largest used car retailer in the U.S., is making it easier for customers to find the most useful information. Thanks to powerful AI language models, potential buyers can now see summaries of customer reviews for every make, model and year of vehicle that CarMax sells, about 5,000 combinations in a vast inventory of approximately 45,000 cars. The summaries provide easy-to-read takeaways from real customer reviews: whether it's a great family car, how comfortable the ride is or if there's enough space to pack for weekend adventures. CarMax has also used the models to create new website content that allows customers to easily see what's new for each version of a car, helping them decide whether new features are worth splurging on. CarMax generated the massive amount of original content in just a few months -- a rate previously impossible -- with powerful GPT-3 natural language models built by the company OpenAI.

Metaphysic CEO Tom Graham runs a company that creates authorized "deep fakes" of people using AI. As the industry leader in creating hyperreal content powered by generative AI, Metaphysic champions individual ownership and control of their AI likenesses and biometric data. By leveraging legal institutions and existing law and regulation, Graham, through this submission, demonstrates the increasingly fine line between reality and computer-generated media as he and Metaphysic seek to create, for the first time, a new bundle of intellectual property rights that must be available to any individual in the future. "Generative AI can create content that looks and feels real, and regular people's avatars can be inserted into content by third parties without their consent. This is not right, and we should never lose control over our identity, privacy or biometric data," said Graham, in a statement.

Since its launch in November 2022, ChatGPT, the chatbot developed by OpenAI, has taken the business world by storm. Following this success, Microsoft has increased its investment in OpenAI and has launched a new version of its search engine Bing that provides users with generated answers in response to searches, as opposed to providing them with thousands of links to choose from. Not surprisingly, Google, as the incumbent in the search engine market, quickly reacted and is launching Bard, its own attempt to create an AI chatbot leveraging the power of large language models and integrate it into the search process. Moving beyond search, both Google and Microsoft are now making their chatbots available through an API (application programming interface, a form of a protocol), thereby enabling software developers from other firms to integrate their systems with these new chatbots. From finance to healthcare and from education to travel, industry observers expect an explosion of service innovations and new digital user experiences. Leveraging the capabilities of large language models, chatbots have developed amazing capabilities to generate human-like responses, and to speak in different languages and styles.

Amazon may not be known for making generative AI, but it's eager to help others get their technology up and running. Amazon Web Services (AWS) is launching a generative AI accelerator that will help the "most promising" startups flourish. The 10-week program provides credits for AWS use, access to mentors and other experts and networking events. At the end, startups pitch their work to potential investors and customers. While the accelerator is open to all generative AI startups, AWS recommends that candidates have at least a basic product ready with some interest from customers. Sign-ups are available worldwide through April 17th, and Amazon makes clear that there are no limits on how the AI is being used -- it can be used for everything from the legal world through to discovering new medicines.

Carrying on the hot topic of the moment, many people are saying that AI will be taking humans' jobs soon, or some indeed say that it has already started. So, what is the situation? British-American computer scientist, physicist, and businessperson, Stephan Wolfram, says it is not so straightforward. Although AI has reached groundbreaking heights lately, which leads humans to ask these pertinent questions, and indeed Wolfram says in the future this will only increase, he says we must look to history for a rounded look at the argument. The role of humans has ever been evolving….'and

The short videos give the impression of a flipbook, jumping shakily from one surreal frame to the next. They're the result of internet meme-makers playing with the first widely available text-to-video AI generators, and they depict impossible scenarios like Dwayne "The Rock" Johnson eating rocks and French president Emmanuel Macron sifting through and chewing on garbage, or warped versions of the mundane, like Paris Hilton taking a selfie. This new wave of AI-generated videos has definite echoes of Dall-E, which swept the internet last summer when it performed the same trick with still images. Less than a year later, those wonky Dall-E images are almost indistinguishable from reality, raising two questions: Will AI-generated video advance as quickly, and will it have a place in Hollywood? ModelScope, a video generator hosted by AI firm Hugging Face, allows people to type a few words and receive a startling, wonky video in return. Runway, the AI company that cocreated the image generator Stable Diffusion, announced a text-to-video generator in late March, but it has not made it widely available to the public.

ChatGPT appears to be smart enough to recognize that artificial intelligence poses a threat to workers' livelihoods. Global outplacement and executive coaching firm Challenger, Gray & Christmas recently asked the « generative AI » tool, developed by research firm OpenAI, in plain English how many workers it expects to replace. That will do little to allay concerns among employees and policymakers about the potential for chatbots and large language models (LLMs) like ChatGPT and Dall-E to displace workers. Currently, ChatGPT is most widely used to support workers in a range of industries, helping them complete tasks that still require human judgment. Certainly, predictive language models can be used to automate tasks, giving workers more time to focus on those involving higher thinking, » senior vice president Andrew Challenger said in a statement.

When Google announced the launch of its Bard chatbot last month, a competitor to OpenAI's ChatGPT, it came with some ground rules. An updated safety policy banned the use of Bard to "generate and distribute content intended to misinform, misrepresent or mislead." But a new study of Google's chatbot found that with little effort from a user, Bard will readily create that kind of content, breaking its maker's rules. Researchers from the Center for Countering Digital Hate, a UK-based nonprofit, say they could push Bard to generate "persuasive misinformation" in 78 of 100 test cases, including content denying climate change, mischaracterizing the war in Ukraine, questioning vaccine efficacy, and calling Black Lives Matter activists actors. "We already have the problem that it's already very easy and cheap to spread disinformation," says Callum Hood, head of research at CCDH. "But this would make it even easier, even more convincing, even more personal. So we risk an information ecosystem that's even more dangerous."