ABOUT THIS EPISODE
Neuroscientist, entrepreneur, and author Dr. Vivienne Ming joins Autumn and Noah to make the case that if we want better AI, we need to build better people first. We get into why AI tutors that hand students answers make learning worse, not better; what her research on "hybrid intelligence" reveals about the human traits — not the AI model — that predict elite human-AI collaboration; a wild experiment running Dungeons & Dragons with Claude and Gemini as dungeon masters to expose the gap between knowing and understanding; her case for "fiduciary AI," legal duty-of-care standards for tutors, hiring tools, and diagnostic models; and the real story of a hiring algorithm that learned to discriminate against women after every explicit gender marker was stripped out.
Chapters
02:20 Why build this book now? The importance of human qualities
04:16 AI in education and the concept of robot-proofing
06:37 The median student and AI personalization
09:31 The limitations of AI understanding and theory of mind
11:30 Building better people with AI and human interaction
14:23 Hybrid intelligence and the role of human-AI collaboration
23:56 Case study: AI in Dungeons & Dragons
30:42 AI's strengths and limitations in understanding and cognition
37:34 The science of purpose and its impact on life and society
44:44 The collective intelligence of humans versus AI
46:54 Key takeaway: Build better people for better
Follow Vivienne Ming on X (https://x.com/neuraltheory) Get Vivienne's book, Robot Proof: (https://amzn.to/3Tz21aP)
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