Tim Tyler introduces an agent accountability framework using the analogy of hiring and supervising a workforce. He argues that each agent should have a unique identityAn AI agent identity is a persistent, verifiable identifier used to attribute messages, actions, permissions, and history to an agent. in a shared registry, context about its team and a named human sponsor accountable for its actions and costs.
Tyler distinguishes a standing role from a runtime mission and describes limiting access to the narrowest scopeLeast privilege gives a person or automated system only the access required for its current authorised work. across a delegation chain. He separates deterministic rules from probabilistic intents and warns that inherited model or external-agent alignment cannot simply be assumed.
The administration stage uses oversight scorecards and corrective steps, ranging from feedback and restricted authorization to escalation or suspension. Tyler presents guardian agents and gateways as possible enforcement mechanisms, with human sponsors adjusting roles and authority; the talk does not report measured deployment results.
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