Strengthening Resilience to AI Risk: A Guide for UK Policymakers
AI Safety Fundamentals
Policy Interventions for AI Development Safety
The chapter explores the significance of policy interventions in enhancing visibility and understanding in AI development, advocating for measures like model reporting, information sharing, and third-party auditing. It emphasizes the need for policymakers to track public attitudes towards AI, foster best practices, and implement various levers such as incident sharing, AI bounties, and job displacement monitoring. Additionally, it addresses societal concerns regarding AI-generated content validity, legal exemptions for safety cooperation, and the importance of up-skilling public sector officials to effectively manage AI impacts.
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