The Oxford Handbook of the Foundations and Regulation of Generative AI

The Oxford Handbook of the Foundations and Regulation of Generative AI provides a comprehensive, interdisciplinary examination of the technical, legal, and societal dimensions of generative AI. Organized into five thematic sections, the volume begins with an introduction that outlines core debates, methodologies, and futures. Then, the foundations section explores technical underpinnings of generative AI, responsible data governance, explainability, agents, and safety concerns. Next, the following section on regulatory challenges addresses the complexities of governing generative AI, including liability, consumer and data protection, nondiscrimination, and content moderation. The applications section explores sector-specific implementations in finance, healthcare, law, agriculture, and education, highlighting both opportunities and risks. Finally, the section on global and regional considerations examines regulatory responses across various jurisdictions and includes the perspective of international law. By bringing together leading scholars and practitioners, this Handbook offers a critical, forward-looking analysis of generative AI’s impact and the legal, ethical, and governance frameworks required to navigate its rapid development and regulatory landscape.