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In this episode of Talking to AI, Paul explores The Prisoner's Dilemma — one of the most powerful ideas in Game Theory. Together with AI, he examines how this simple two-player thought experiment explains real-world challenges like climate cooperation, business competition, and digital trust systems.
You'll discover how governments and tech designers use incentives to reshape behavior — and why some "solutions" to the dilemma can backfire. From reputation scoring to carbon credits, this episode uncovers how we balance self-interest with the common good in the age of AI.
A must-listen for anyone curious about how algorithms, psychology, and human nature collide in shaping cooperation and trust.
By Paul AylingIn this episode of Talking to AI, Paul explores The Prisoner's Dilemma — one of the most powerful ideas in Game Theory. Together with AI, he examines how this simple two-player thought experiment explains real-world challenges like climate cooperation, business competition, and digital trust systems.
You'll discover how governments and tech designers use incentives to reshape behavior — and why some "solutions" to the dilemma can backfire. From reputation scoring to carbon credits, this episode uncovers how we balance self-interest with the common good in the age of AI.
A must-listen for anyone curious about how algorithms, psychology, and human nature collide in shaping cooperation and trust.