Stuart Russell
Professor of Computer Science, UC Berkeley
About
Stuart Russell is a professor of computer science at UC Berkeley and co-author of 'Artificial Intelligence: A Modern Approach,' the most widely used AI textbook in the world. His research spans machine learning, probabilistic reasoning, and AI safety. He has become a leading voice on the existential risks of advanced AI, arguing that we need to fundamentally rethink how we build AI systems to ensure they remain beneficial and under human control.
Key Contributions
- Co-authored 'Artificial Intelligence: A Modern Approach,' the textbook that standardized how generations of students learned AI
- Founded UC Berkeley's Center for Human-Compatible AI to study systems that remain useful under uncertainty about human preferences
- Advanced probabilistic reasoning and decision-theoretic approaches, grounding AI in uncertainty rather than brittle rule systems
- Worked on inverse reinforcement learning and preference uncertainty, technical foundations for human-compatible AI
- Authored 'Human Compatible,' arguing that optimizing fixed objectives is the wrong foundation for advanced AI
- Helped move AI safety and autonomous-weapons concerns into mainstream computer science, though critics see his risk framing as too speculative or alarmist
