Google Scholar: Stuart Russell

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Google Scholar·scholar.google.com/citations?user=WOSlKqcAAAAJ

Credibility Rating

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High(4)

High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: Google Scholar

This is the academic publication index for Stuart Russell, a seminal figure in AI safety; useful for tracking his research output and citation impact across alignment and beneficial AI topics.

Metadata

Importance: 62/100homepage

Summary

Google Scholar profile for Stuart Russell, professor at UC Berkeley and one of the most influential figures in AI safety research. Russell is co-author of the leading AI textbook 'Artificial Intelligence: A Modern Approach' and author of 'Human Compatible,' which argues for a fundamental redesign of AI around human preferences and uncertainty. His research spans AI alignment, inverse reward design, and the long-term risks of advanced AI systems.

Key Points

•Stuart Russell is a leading AI researcher whose work on value alignment and provably beneficial AI is foundational to the field
•Co-authored 'Artificial Intelligence: A Modern Approach,' the most widely used AI textbook globally
•Developed the concept of assistance games (formerly cooperative inverse reinforcement learning) as a formal framework for alignment
•Founder of the Center for Human-Compatible AI (CHAI) at UC Berkeley, a major AI safety research institution
•His Google Scholar profile aggregates citations and publications relevant to AI safety, alignment, and long-term AI risk

Cited by 1 page

Page	Type	Quality
Center for AI Safety	Organization	42.0

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