Two of "TIME’s 100 Most Influential People in AI" discuss current AI topics as well as their book "AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference."
Cutting through the AI hype, the speakers will examine not only how AI works but also why it often doesn’t. Their book is based on years of research on limits to prediction, the dangers of predictive decision making, the reproducibility crisis in machine learning based science, the limits of large language models, and the risks of social media algorithms. By revealing AI’s limits and real risks, this session will help you make better decisions about whether and how to use AI at work and home.
Registration through Princeton Tech Meetup is requested so we can plan properly for the event; this author talk is open to all. Modeled after Tech Meetup groups in New York, Hoboken and Philadelphia, the goal of Princeton Tech Meetup is to bring technically-minded people together to benefit from each other’s advice, knowledge, perspective and energy.
About the Speakers:
Arvind Narayanan is professor of computer science at Princeton University and director of its Center for Information Technology Policy. He is the coauthor of Bitcoin and Cryptocurrency Technologies (Princeton) and Fairness and Machine Learning.
Sayash Kapoor is a PhD candidate in computer science at Princeton. He previously worked as a software engineer at Facebook, where he helped create AI for content moderation. To learn more, please visit AISnakeOil.com.
Co-sponsored by Princeton Tech Meetup, Labyrinth Books and Princeton University Press
AGE GROUP: | Adults |
EVENT TYPE: | Lectures & Panels | Job Skills & Careers | Author Talks | *Registration Requested |
TAGS: | Fall Authors 24 |
