Industrial Policy Salon: Is AI Good for Science? with Sayash Kapoor

​The rapid adoption of AI for scientific research is leading to huge expectations from billion dollar startups like Periodic Labs and Lila Sciences, and is the focus of the U.S. government's Genesis Mission. But do claims about AI's ability to accelerate science hold up to scrutiny? Join Sayash Kapoor as we discuss AI's effects on science and what the government should do to foster its beneficial adoption.

​Sayash Kapoor is a Porter Ogden Jacobus Fellow in the Princeton Graduate School and a computer science Ph.D. candidate at Princeton University's Center for Information Technology Policy. He is a coauthor of AI Snake Oil, one of Nature’s 10 best books of 2024. His AI as Normal Technology newsletter is read by over 50,000 AI enthusiasts, researchers, policymakers, and journalists. His work has been published in leading scientific journals such as Science and PNAS. He has written for mainstream outlets including The Wall Street Journal and WIRED and his work has been featured in The New York Times, The Atlantic, Washington Post, Bloomberg, and many others. Kapoor has been recognized with various awards, including a best paper award at ACM FAccT, an impact recognition award at ACM CSCW, and inclusion in TIME’s inaugural list of the 100 most influential people in AI.

See Sayash's prior writing about AI and science on his blog: https://www.normaltech.ai/p/could-ai-slow-science

Schedule
6:00-6:30 Mingle and consume food/drinks you have ordered from the lovely venue.
6:30-7:00 Sayash's prepared remarks
7:00-7:30 Audience Q&A
7:30-8:00 Free mingling