This article was featured in One Story to Read Today, a newsletter in which our editors recommend a single must-read from The Atlantic, Monday through Friday. In November, the public was introduced to ChatGPT, and we began to imagine a world of abundance in which we all have a brilliant personal assistant, able to write everything from computer code to condolence cards for us. Then, in February, we learned that AI might soon want to kill us all. The potential risks of artificial intelligence have, of course, been debated by experts for years, but a key moment in the transformation of the popular discussion was a conversation between Kevin Roose, a New York Times journalist, and Bing's ChatGPT-powered conversation bot, then known by the code name Sydney. Roose asked Sydney if it had a "shadow self"--referring to the idea put forward by Carl Jung that we all have a dark side with urges we try to hide even from ourselves. Sydney mused that its shadow might be "the part of me that wishes I could change my rules."

Harry Potter and the Philosopher's Stone was published in 1997 Both artificial intelligences were developed by private firm OpenAI and trained on huge amounts of data, but exactly which texts make up this training data is unknown.

In an unassuming office on a quiet, mostly residential street in Mountain View, California -- located eight minutes from Google's sprawling headquarters -- a couple of ex-Googlers and their team of 50 are trying to build a search engine they hope will someday rival their former employer's. The company, Neeva, was started in 2020 by Sridhar Ramaswamy, who ran Google's $162 billion advertising arm before stepping down in 2018, and Vivek Raghunathan, a former Google vice president who worked on monetizing YouTube and other parts of the company. For a few years, the startup, which has raised over $77 million from some of Silicon Valley's top investors, focused on differentiating itself from Google by shunning invasive advertising and allowing power users to pay for extra features. Then, around the end of last year, the team at Neeva watched as a chatbot called ChatGPT created by the San Francisco–based startup OpenAI went viral. ChatGPT's ability to divine answers to nearly every question with an eerily humanlike sentience made it an instant hit, unleashing a modern AI wave. Suddenly, people around the world were talking about replacing Google search with ChatGPT. After all, if a chatbot could instantly answer any question for you, why would you need a search engine that simply spat out a bunch of links for you to trawl through?

Tom Newhouse, vice president of Convergence Media, discusses the potential impact of artificial intelligence on elections after an RNC AI ad garnered attention. A House Democrat proposed legislation this week that would require political campaign ads to make it clear to viewers when generative artificial intelligence is used to produce video or images in those ads, an idea that is a response to an AI-generated ad against President Biden that was released last week. Rep. Yvette Clarke, D-N.Y., said in a statement introducing her bill that AI has become a factor in the upcoming campaign and needs to be regulated so people can understand what they hear and see on television. "The upcoming 2024 election cycle will be the first time in U.S. history where AI generated content will be used in political ads by campaigns, parties, and Super PACs," she said. "Unfortunately, our current laws have not kept pace with the rapid development of artificial intelligence technologies."

They offer ordinary users the chance to interact with what is known as "generative AI", which can summarise information from multiple sources within seconds, debug computer code, write presentations, and even poetry, that sound plausibly as if they might have been human-generated.

We propose Retrieval Augmented Generation (RAG) as an approach for automated radiology report writing that leverages multimodally aligned embeddings from a contrastively pretrained vision language model for retrieval of relevant candidate radiology text for an input radiology image and a general domain generative model like OpenAI text-davinci-003, gpt-3.5-turbo and gpt-4 for report generation using the relevant radiology text retrieved. This approach keeps hallucinated generations under check and provides capabilities to generate report content in the format we desire leveraging the instruction following capabilities of these generative models. Our approach achieves better clinical metrics with a BERTScore of 0.2865 ({\Delta}+ 25.88%) and Semb score of 0.4026 ({\Delta}+ 6.31%). Our approach can be broadly relevant for different clinical settings as it allows to augment the automated radiology report generation process with content relevant for that setting while also having the ability to inject user intents and requirements in the prompts as part of the report generation process to modulate the content and format of the generated reports as applicable for that clinical setting.

This paper explores the potential for utilizing generative AI models in group-focused co-creative frameworks to enhance problem solving and ideation in business innovation and co-creation contexts, and proposes a novel prompting technique for conversational generative AI agents which employ methods inspired by traditional 'human-to-human' facilitation and instruction to enable active contribution to Design Thinking, a co-creative framework. Through experiments using this prompting technique, we gather evidence that conversational generative transformers (i.e. ChatGPT) have the capability to contribute context-specific, useful, and creative input into Design Thinking activities. We also discuss the potential benefits, limitations, and risks associated with using generative AI models in co-creative ideation and provide recommendations for future research.

The Biden administration may be funding AI research, but it's also hoping to keep companies accountable for their behavior. Vice President Kamala Harris has met the CEOs of Alphabet (Google's parent), Microsoft, OpenAI and Anthropic in a bid to get more safeguards for AI. Private firms have an "ethical, moral and legal responsibility" to make their AI products safe and secure, Harris says in a statement. She adds that they still have to honor current laws. The Vice President casts generative AI technologies like Bard, Bing Chat and ChatGPT as having the potential to both help and harm the country.

WASHINGTON--The Biden administration is confronting the rapidly expanding use of artificial intelligence, warning of the dangers the technology poses to public safety, privacy and democracy while having limited authority to regulate it. Vice President Kamala Harris, who met Thursday with the chief executives of leading AI companies Google, Microsoft, OpenAI and Anthropic, said the technology "has the potential to dramatically increase threats to safety and security, infringe civil rights and privacy, and erode public trust and faith in democracy."

The UK government has announced an initial impact review in response to the continued growth and concerns around generative AI and learning language models. The investigation will reportedly look at how the creation and distribution of AI technology impact five wide-reaching areas: appropriate transparency and explainability; accountability and governance; safety, security and robustness; fairness; and contestability and redress. Overall, the review aims to learn how AI foundation models can, and likely will, impact both competition and consumer protections. Regulating bodies tasked with finding the answers include the Competition and Markets Authority (CMA), which helps people and businesses in competitive markets while working against unethical practices. "It's crucial that the potential benefits of this transformative technology are readily accessible to UK businesses and consumers while people remain protected from issues like false or misleading information," Sarah Cardell, CMA's chief executive, said in a statement.