This talk is part of the Princeton Univerisity Press-Yale Center Beijing Ideas Series.

Event Time

Friday, November 8, 2024

Registration
7:30 pm - 8:00 pm

Presentation and Commentary
8:00 pm - 9:00 pm

Q&A
9:00 pm - 9:15 pm

Location

Yale Center Beijing 
36th Floor Tower B of IFC Building 8 Jianguomenwai Avenue Chaoyang District, Beijing (Yong'anli Subway Station, Exit C) 

Registration and Fees

Registration
Please click “HERE” further below to register.

Please send an email to yalecenterbeijing@yale.edu if there are any problems. If you encounter any payment issues, please attach a screenshot that identifies the issue.

Ticket: Free for students and faculty (subject to approval); RMB 30 for regular admission.

The language of the event will be English. 

The Event

Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor, who are recognized by Time magazine as two of the 100 most influential experts in AI, cut through the confusion to give you an essential understanding of how AI works and why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will.

On November 8, Arvind Narayanan and Sayash Kapoor will meet online with the public, joined by Thomas Luo, Founding Partner of GenAI Assembling, for an in-depth discussion on AI’s real value and potential risks in today’s society, focusing particularly on how to recognize and avoid being misled by false advertising in an increasingly complex information landscape.

Speakers

Arvind Narayanan
Professor of Computer Science & Director, Center for Information Technology Policy, Princeton University

 Arvind Narayanan is a professor of computer science at Princeton University and the director of the Center for Information Technology Policy. He studies the societal impact of digital technologies, especially artificial intelligence, and has co-authored a textbook on fairness and machine learning. He led the Princeton Web Transparency and Accountability Project to uncover how companies collect and use our personal information. In 2017, he received the Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor bestowed by the U.S. government upon scientists and engineers who have recently embarked on independent research careers and demonstrated outstanding leadership in the fields of science and technology.

Sayash Kapoor
Ph.D. Candidate, Center for Information Technology Policy, Princeton University

Sayash Kapoor is a Ph.D. candidate at the Center for Information Technology Policy at Princeton University. He previously worked at Facebook and conducted AI research at Columbia University and the Swiss Federal Institute of Technology in Lausanne (EPFL). He has received the Best Paper Award at the ACM FAccT Conference and the Impact Recognition Award at the ACM CSCW Conference, both from the Association for Computing Machinery (ACM).

Thomas Luo 
Founding Partner, GenAI Assembling Founder and CEO, PingWest and Si-Planet 

Thomas Luo is Founding Partner of GenAI Assembling and Founder & CEO of both Si-Planet and PingWest. Thomas is a prominent figure in Chinese tech media and an alumnus of Tsinghua University. He has built a reputation as a keen observer of technological innovation in both China and Silicon Valley. 

Partner