AI Agent Governance: A Field Guide — Institute for AI Policy and Strategy
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IAPS (Institute for AI Policy and Strategy) is a policy-focused research organization; this page covers their research agenda on governing AI agents, relevant to those studying regulatory approaches to autonomous AI systems.
Metadata
Summary
Research from the Institute for AI Policy and Strategy (IAPS) examining governance frameworks for AI agents, addressing the unique regulatory and oversight challenges posed by autonomous AI systems that can take actions in the world. The work likely covers accountability structures, deployment constraints, and policy mechanisms suited to agentic AI behavior.
Key Points
- •Focuses on governance challenges specific to AI agents, which differ from static AI models due to their autonomous action-taking capabilities
- •Examines policy frameworks and accountability mechanisms needed to oversee agentic AI systems
- •Addresses deployment constraints and oversight requirements for AI systems operating with greater autonomy
- •Relevant to policymakers and researchers working on regulatory approaches to advanced AI systems
- •Produced by IAPS, a think tank specializing in AI policy and strategy at the intersection of governance and technical AI development
1 FactBase fact citing this source
| Entity | Property | Value | As Of |
|---|---|---|---|
| Institute for AI Policy and Strategy | publication | AI Agent Governance: A Field Guide (April 2025) — 63-page playbook for governing AI agents, five-part taxonomy of interventions | Apr 2025 |
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AI Agent Governance: A Field Guide — Institute for AI Policy and Strategy 0 AI Agent Governance: A Field Guide Research Report Apr 17 Written By Jam Kraprayoon Read the full report 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 . Highlights from the report include: What’s coming: Vivid scenarios show what life with millions of AI agents could look like. The pace of change: Today’s AI agents struggle with tasks over an hour, but that limit has been doubling every few months. The governance gap: We map out the biggest unsolved challenges and introduce a new framework for understanding agent governance solutions. Jam Kraprayoon Frontier Security Jam Kraprayoon Previous Previous The US Government’s Role in Advanced AI Development: Predictions and Scenarios Next Next Helping the AI Industry Secure Unreleased Models is a National Security Priority
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