The Center for Human-Compatible Artificial Intelligence (CHAI) is a research center at the University of California, Berkeley focusing on advanced artificial intelligence (AI) safety methods. The center was founded in 2016 by a group of academics led by Berkeley computer science professor and AI expert Stuart J. Russell.[1][2] Russell is known for co-authoring the widely used AI textbook Artificial Intelligence: A Modern Approach.
CHAI's faculty membership includes Russell, Pieter Abbeel and Anca Dragan from Berkeley, Bart Selman and Joseph Halpern from Cornell,[3] Michael Wellman and Satinder Singh Baveja from the University of Michigan, and Tom Griffiths and Tania Lombrozo from Princeton.[4] In 2016, the Open Philanthropy Project (OpenPhil) recommended that Good Ventures provide CHAI support of $5,555,550 over five years.[5] CHAI has since received additional grants from OpenPhil and Good Ventures of over $12,000,000, including for collaborations with the World Economic Forum and Global AI Council.[6][7][8]
CHAI's approach to AI safety research focuses on value alignment strategies, particularly inverse reinforcement learning, in which the AI infers human values from observing human behavior.[9] It has also worked on modeling human-machine interaction in scenarios where intelligent machines have an "off-switch" that they are capable of overriding.[10]
 | This article about an organization in the United States is a stub. You can help Wikipedia by expanding it. |
editors
This is the start of the #editors chat. #editors is a chat channel to discuss collecting and organizing hub content.
