The Center for Human-Compatible AI (CHAI) is a research institute based at UC Berkeley led by Prof Stuart Russell. 

CHAI's goal is to develop the conceptual and technical wherewithal to reorient the general thrust of AI research towards provably beneficial systems.

Artificial intelligence research is concerned with the design of machines capable of intelligent behavior, i.e., behavior likely to be successful in achieving objectives. The long-term outcome of AI research seems likely to include machines that are more capable than humans across a wide range of objectives and environments. This raises a problem of control: given that the solutions developed by such systems are intrinsically unpredictable by humans, it may occur that some such solutions result in negative and perhaps irreversible outcomes for humans. CHAI's goal is to ensure that this eventuality cannot arise, by refocusing AI away from the capability to achieve arbitrary objectives and towards the ability to generate provably beneficial behavior. Because the meaning of beneficial depends on properties of humans, this task inevitably includes elements from the social sciences in addition to AI.

AI/ML

Research

Center for Human-Compatible AI

Zoubin Ghahramani

Thanard Kurutach

Steven Wang

Shlomo Zilberstein

Sanjit Seshia

Michael Osborne

Kimin Lee

Khanh Nguyen

Karthik Narasimhan

Jonathan Uesato

Jinwoo Shin

Honglak Lee

George Obaido

George Konidaris

David Weiss

Brian Judge

Ben Plaut

Benjamin Plaut

Ashish Goel

Andrew Critch

Mark Nitzberg

David Mumford

Internship and Former Internship Team

Research Team

Research and Development

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Teams at Center for Human-Compatible AI

Internship and Former Internship Team

Research Team

Research and Development

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Teams at Center for Human-Compatible AI

Internship and Former Internship Team

Research Team

Research and Development

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