Peter Norvig: Today's Most Pressing Questions in AI Are Human-Centered

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Abstraction: Peter Norvig on human-centered AI priorities and inclusive education

Key points:

Norvig joins Stanford HAI as Distinguished Education Fellow after 20 years at Google (director of research, overseeing search, ML translation, speech, computer vision).
Key AI questions have shifted from "which algorithm is best" to human-centered: what to optimize, whose interests, fairness, data inclusivity.
Three-part diversity challenge: pipeline (belonging), fair hiring (broadening recruiting beyond top schools), and retention (culture).
2011 Stanford/Udacity AI MOOC enrolled 100,000 students, 16,000 completed—but still only reached highly self-motivated learners.
Real-world AI work requires professionals to define objectives and collect data themselves; courses that only present pre-defined problems leave that gap.
Co-authored "Artificial Intelligence: A Modern Approach," used by ~1,500 universities worldwide.

Connections: Peter Norvig · Stanford Hai · Google · Human Centered AI · AI Education