Agent Governance Research

Agentic AI Governance: Securing Autonomous AI Agents in Enterprise

When AI agents start making decisions, calling tools, and coordinating with other agents without waiting for human approval, the governance playbook most...

Introducing the Agent Governance Toolkit: Open-source runtime security for AI agents | Microsoft Open Source Blog

Discover how the Microsoft Agent Governance Toolkit brings policy, identity, and reliability to autonomous AI agent systems.

Agentic AI Governance: A Strategic Framework for Autonomous Systems

Agentic AI is moving from chat to action. Learn how to govern autonomous systems using the "Digital Contractor" framework and the 3-Tiered Guardrail system.

From chatbots to assistants: governance is key for AI agents

AI's shift into agentic technology ushers in a new set of governance and security challenges that will mean defining to what extent they should be autonomous

Metacrisis and AI governance

Metacrisis and AI governance Jonah Wilberg, September 2025

trace-spec/ROADMAP.md at 738358dfac58047eaf689ca824f9e15008aabf36 · agentrust-io/trace-spec

TRACE: Trust Runtime Attestation and Compliance Evidence. Open attestation standard for agentic AI governance. - agentrust-io/trace-spec

Debates On Frontier Artificial Intelligence Governance: The AI Triad

Analytical Paper Optional: All enrolled students have the option of completing a research paper of at least 20-25 pages, with faculty and peer review of a substantially complete draft. This paper can be used to satisfy the analytical paper requirement for J.D. students. Prerequisite: This course is intended for students intending to work in the […]

AI Agent Standards: Navigating New NIST Governance | Nemko Digital

NIST's new AI agent standards are here. Learn what they mean for AI governance, compliance, and liability. Get ahead of the new regulations.

Will we have a theory for in-the-wild AI agents? - undisciplinary

Thoughts after writing a sociology-meets-physics-meets-agents paper I just put out a preprint out on a theory of role emergence in multi-agent systems (soci…

Characterizing Agentic Flooding of Government Services

AI agents are making it easier for the public to interact with government, such as by helping them apply for benefits, understand complex policies, and make their opinions heard. Although...

Existing Human Institutions — AGI Institutions Wiki

How existing human institutions handle coordination across scales — and how autonomous AI agents break them. Maps protocols, preferences, rights, incentives, expertise, norms, and thick commitments from dyadic to global.

AI Agents Are Taking Over: And That’s Good For Business

Autonomous AI societies are transforming commerce with self-governing, agent-driven systems, redefining the future of business through collaborative intelligence.

MI9: An Integrated Runtime Governance Framework for Agentic AI

Agentic AI systems capable of reasoning, planning, and executing actions present fundamentally distinct governance challenges compared to traditional AI models. Unlike conventional AI, these systems exhibit emergent and unexpected behaviors during runtime, introducing novel agent-related risks that cannot be fully anticipated through pre-deployment governance alone. To address this critical gap, we introduce MI9, the first fully integrated runtime governance framework designed specifically for safety and alignment of agentic AI systems. MI9 introduces real-time controls through six integrated components: agency-risk index, agent-semantic telemetry capture, continuous authorization monitoring, Finite-State-Machine (FSM)-based conformance engines, goal-conditioned drift detection, and graduated containment strategies. Operating transparently across heterogeneous agent architectures, MI9 enables the systematic, safe, and responsible deployment of agentic systems in production environments where conventional governance approaches fall short, providing the foundational infrastructure for safe agentic AI deployment at scale. Detailed analysis through a diverse set of scenarios demonstrates MI9's systematic coverage of governance challenges that existing approaches fail to address, establishing the technical foundation for comprehensive agentic AI oversight.

Can AI Be Governed? Only If We Build Normatively Competent AI

Hadfield's discussion brings the idea of AI governance back to the core idea of steering the behavior of an AI system. As she notes, this not only involves technical questions about how AI systems ar...