With Great Capabilities Come Great Responsibilities: Introducing the Agentic Risk & Capability Framework for Governing Agentic AI Systems
Shaun Khoo, Jessica Foo, Roy Ka-Wei Lee

TL;DR
The paper introduces the ARC Framework, a comprehensive governance tool designed to help organizations identify, assess, and mitigate risks associated with autonomous, agentic AI systems by focusing on their capabilities, components, and design.
Contribution
It presents a novel capability-centric perspective and a structured methodology for managing the risks of agentic AI, linking risk sources to specific controls.
Findings
Develops a capability-centric analysis approach
Identifies three primary risk sources: components, design, capabilities
Provides a practical, structured framework for risk mitigation
Abstract
Agentic AI systems present both significant opportunities and novel risks due to their capacity for autonomous action, encompassing tasks such as code execution, internet interaction, and file modification. This poses considerable challenges for effective organizational governance, particularly in comprehensively identifying, assessing, and mitigating diverse and evolving risks. To tackle this, we introduce the Agentic Risk \& Capability (ARC) Framework, a technical governance framework designed to help organizations identify, assess, and mitigate risks arising from agentic AI systems. The framework's core contributions are: (1) it develops a novel capability-centric perspective to analyze a wide range of agentic AI systems; (2) it distills three primary sources of risk intrinsic to agentic AI systems - components, design, and capabilities; (3) it establishes a clear nexus between each…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
Taxonomy
TopicsEthics and Social Impacts of AI · Scientific Computing and Data Management · Multi-Agent Systems and Negotiation
