A Theory of Appropriateness with Applications to Generative Artificial Intelligence

Explore a comprehensive lecture on the Theory of Appropriateness and its applications to Generative AI, delivered at the 2023 Cooperative AI Summer School. Delve into complex cognitive behaviors in deep reinforcement learning agents, including cooperation in groups, performance evaluation methods, and modeling processes like cumulative culture that contribute to human intelligence. Learn from DeepMind research scientist Joel Z. Leibo, who brings expertise from his MIT PhD work on computational neuroscience of face recognition. Gain valuable insights into the intersection of artificial intelligence, cognitive science, and cooperative behavior in this hour-long presentation.

A Theory of Appropriateness with Applications to Generative Artificial Intelligence