AI Governance

AI governance encompasses institutional arrangements, policy frameworks, and regulatory mechanisms for guiding the development and deployment of AI systems. This includes standards-setting bodies, certification procedures, enforcement mechanisms, and the question of whether governance should be industry-led, co-regulatory, or top-down.

Key papers

• Truthful AI: Developing and Governing AI That Does Not Lie — proposes governance frameworks for AI truthfulness standards, including self-regulation, co-regulation, and top-down regulation models
• Mirsky et al. (2021) — The Threat of Offensive AI to Organizations — threat modeling and risk assessment for AI-enabled attacks

Related topics

• AI Safety (technical and institutional approaches to beneficial AI)
• Content moderation (governance of platform speech and misinformation)
• Platform Responsibility (broader frameworks for platform accountability)