AI Researcher, Professor
Stuart Russell is a British computer scientist and professor of electrical engineering and computer science at the University of California, Berkeley. He co authored the standard AI textbook and his book Human Compatible argues that AI must be redesigned around human preferences.
by Stuart Russell
Stuart Russell, co-author of the leading AI textbook, argues that the standard model of AI, in which machines optimize a fixed objective, is fundamentally flawed and increasingly dangerous as systems grow more capable. He proposes a new framework for beneficial AI based on three principles: machines should be uncertain about human preferences, should defer to humans, and should learn what humans actually want through observation rather than explicit programming.
The books Stuart Russell references, cites, and recommends most frequently.
by Nick Bostrom
Bostrom warns that once artificial intelligence surpasses human cognition, controlling it becomes nearly impossible. The real danger isn't malice but misaligned goals pursued with superhuman competence.
by Max Tegmark
Tegmark explores how artificial superintelligence could reshape civilisation. The central question is not whether AI will surpass us, but whether we can steer it towards beneficial outcomes.
by Daniel Kahneman
Kahneman reveals that our minds run on two systems: fast intuition and slow deliberation. Most errors in judgement come from trusting System 1 when the situation demands System 2's careful analysis.
by Yuval Noah Harari
Harari argues that humanity's next project is upgrading itself - through bioengineering, AI, and data - into something post-human. The question is who controls that transformation.
Who Stuart draws from, and who draws from Stuart — aggregated across every book in this collection. Counts show the number of citation links, not the depth of each one.