Foundations of AI Governance

Artificial intelligence governance has emerged as a critical imperative in contemporary digital societies, demanding comprehensive frameworks that balance innovation with accountability, human rights, and democratic values. This chapter examines the foundational principles, institutional mechanisms, regulatory approaches, and ethical considerations that constitute effective AI governance systems. Through analysis of global governance frameworks including the EU AI Act, risk-based regulatory models, and international cooperation mechanisms, the chapter explores how legal norms are being transformed to address AI's unique challenges. Key governance dimensions examined include algorithmic accountability, transparency requirements, human rights safeguards, and the integration of democratic oversight into AI systems. The chapter provides empirical insights from recent governance initiatives across jurisdictions, analyzing both regulatory successes and persistent governance gaps.

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