Agent Authority Infrastructure: A Framework for Runtime Authority, Approval, and Evidence in AI Agents

Key Points

• The aim is to establish a framework that governs the authority and accountability of AI agents in real-time settings.
• Defines runtime authority for AI agents
• Enforces decision-making processes including allow, deny, and human review
• Implements mechanisms for tamper-evident evidence collection
• Establishes a structured governance approach for AI agents
• Enhances security by ensuring review and approval before execution of actions
• Preserves integrity of evidence for each action taken by agents

Abstract