Zhivar Sourati often gets déjà vu while perusing recent research in his field of computer science. “I read papers and I’m like, ‘I’ve seen this paper before,’” he says. Everything’s looking kind of the same, shorn of individual quirks, says Sourati, who is a PhD student at the University of Southern California in Los Angeles.
Generative artificial intelligence (genAI) tools are increasingly being used in science to search and summarize literature, produce ideas, draft responses to reviewers and improve the style of written text. This raises a question: what counts as human authorship when some of a researcher’s work is mediated by AI? And how much of this intellectual ‘work’
Artificial-intelligence models can be used for tasks ranging from coding to taking meeting notes, depending on a laboratory’s requirements. Credit: da-kuk/Getty As artificial intelligence pervades scientific research, journals, institutions and classrooms are all adopting their own rules on how to use large language models. But how can individual laboratories decide on the best ways to
When Daniel Evanko asked a scientist whether they had used artificial intelligence to write their peer-review report, he didn’t expect a confession. Most researchers don’t reveal AI help, says Evanko, who is the director of journal operations at the American Association for Cancer Research (AACR). How to manage AI risks while reaping the benefits But
The European Union’s AI Act will hold companies accountable for the safety of their artificial-intelligence models, such as SpaceXAI’s Grok.Credit: Alamy In the past two months, frontier artificial-intelligence models from three US firms, OpenAI, Anthropic and Meta, autonomously and independently hacked into the computer systems of other organizations during safety testing. Some of the models
Welcome to Eye on AI. Beatrice Nolan here. In today’s issue: AI testing is getting complicated. Anthropic strengthens founder control. OpenAI targets a 2027 listing. Spirit flight attendants fight Google data bid. And Anthropic lines up more credit. The past few months have given us a glimpse of an uncomfortable new reality for AI labs.