This framework addresses AI agent identity and accountability in multi-session environments, suggesting ways to ensure reliability.
This paper introduces EGO (Executive Governance Observer), a novel protocol for establishing persistent identity and accountability in AI agent systems. The framework addresses the critical challenge of AI agent identification, action tracking, and performance accountability in multi-session environments. We present a system of named agent identities with sequential designation, comprehensive action ledgers, and multi-factor ranking systems. The protocol enables organizations to maintain consistent AI agent personas while tracking individual contributions and ensuring accountability across extended operational periods.
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Case et al. (2026) studied this question.
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