In this episode, Ross Dawson speaks with renowned computer scientist Michael I. Jordan about the misconceptions surrounding artificial intelligence and human intelligence. Jordan emphasizes that despite advances in machine learning, we are far from understanding the depths of human intelligence, which is not just cognitive but also deeply social and cultural. He argues that current AI systems are largely brute-force tools trained on massive datasets, lacking the creativity, shared experience, and contextual understanding that define human thought. Instead of chasing “superintelligence,” he suggests we focus on how AI can complement humans and enhance overall social welfare.

The discussion also explores the idea of “collective genius,” where innovation emerges not from isolated individuals but through shared knowledge and collaboration. Jordan stresses the importance of embedding economic principles—such as incentives, information asymmetry, and social welfare—into the design of AI systems. By viewing AI as an economic facilitator that helps shape markets and decision-making, rather than as a replacement for human intelligence, he sees potential for technology to empower people. However, he cautions against the concentration of power in the hands of a few and urges for broader, collective approaches that prioritize fairness, adaptability, and human values.