AI systems like AlphaGo develop heuristics through learning that are difficult for humans to understand or learn from, since machines and humans have different notions of simplicity. While humans can memorize AI moves, they struggle to internalize the underlying principles, and asking AI systems to explain their decisions may yield plausible-sounding but unreliable answers since they were optimized for performance, not interpretability.
Thinking, Fast and Slow is a 2011 popular science book by Israeli-American psychologist Daniel Kahneman that distinguishes between two cognitive modes: System 1 (fast, intuitive, emotional) and System 2 (slow, deliberative, logical). The book synthesizes decades of research on cognitive biases, heuristics, and decision-making, becoming a New York Times bestseller and winning the 2012 American National Academies Communication Award, though some cited studies have faced replication concerns.