mlsanityData to 14 Oct 2026

AI Agent Governance: A Field Guide

arXiv 2505.21808 ↗First posted 27 May 2025cs.CYcited by 8

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Abstract (arXiv)

This report serves as an accessible guide to the emerging field of AI agent governance. Agents - AI systems that can autonomously achieve goals in the world, with little to no explicit human instruction about how to do so - are a major focus of leading tech companies, AI start-ups, and investors. If these development efforts are successful, some industry leaders claim we could soon see a world where millions or billions of agents autonomously perform complex tasks across society. Society is largely unprepared for this development. A future where capable agents are deployed en masse could see transformative benefits to society but also profound and novel risks. Currently, the exploration of agent governance questions and the development of associated interventions remain in their infancy. Only a few researchers, primarily in civil society organizations, public research institutes, and frontier AI companies, are actively working on these challenges.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 May 2025.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 5.

8 papers.