Lecture 7 | AI Safety, Ethics, & Society: Collective Action Problems

Lecture 7 | AI Safety, Ethics, & Society: Collective Action Problems

You can find more information including the corresponding section of the AI Safety, Ethics, & Society textbook at https://www.aisafetybook.com/textbook/collective-action-problems. Topics: Collective Action Problems Dan Hendrycks, Director, Center for AI Safety; PhD Computer Science, UC Berkeley https://www.safe.ai/ Section Synopsis: There are many cases where intelligent agents can, despite acting rationally and in accordance with their own self-interest, collectively produce outcomes that none of them wants. Making individual AI systems reliable is not sufficient to avoid all risks from AI. Rather, we need to understand how these dynamics affect interactions between humans and AIs in order to prevent harmful, potentially catastrophic outcomes. 0:00 Introduction 0:59 Game Theory 26:44 Cooperation 35:18 Conflict 46:28 Evolutionary Pressure