CORE-Bench and Other AI Agent Use Cases
When and Where
Speakers
Description
The Toronto Data Workshop brings together academia and industry to share data science and AI best practice. We are broadly interested, but especially in the code- and data-centric aspects of a project that are often glossed over. We meet weekly for an hour and most talks are recorded.
Please join the event. Everyone is welcome—it is free and you do not need to be affiliated with the university.
About Crystal Lewis
Sayash Kapoor is a computer science Ph.D. candidate at Princeton University’s Center for Information Technology Policy. His research focuses on the societal impact of AI. He has previously worked on AI in industry and academia, including Facebook, Columbia University, and EPFL Switzerland. He received a best paper award at ACM FAccT, an impact recognition award at ACM CSCW, and was included in TIME’s inaugural list of the 100 most influential people in AI. His recently released book with Arvind Narayanan, AI Snake Oil, looks critically at what AI can and cannot do.