Societal Adaptation to Advanced AI

This paper explores the under-discussed strategies of adaptation and resilience to mitigate the risks of advanced AI systems. The authors present arguments supporting the need for societal AI adaptation, create a framework for adaptation, offer examples of adapting to AI risks, outline the concept of resilience, and provide concrete recommendations for policymakers.

Original text:
https://drive.google.com/file/d/1k3uqK0dR9hVyG20-eBkR75_eYP2efolS/view?usp=sharing

Author(s): 
Jamie Bernardi, Gabriel Mukobi, Hilary Greaves, Lennart Heim, and Markus Anderljung

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Learn more on the AI Safety Fundamentals website.

Chapters

• 0:23 Abstract
• 1:25 1. Introduction
• 4:26 2. The Need for Societal AI Adaptation
• 11:27 3. A Framework for AI Adaptation
• 21:20 4. Examples of Adapting to AI Risks
• 31:16 5. Resilience: The Capacity to Adapt
• 39:29 6. Recommendations
• 43:08 7. Conclusion
• 44:47 Adverse Impacts