Critical review of agentic AI offers framework for how much authority to delegate
dair_ai · x · 2026-09-08
- A critical review of agentic AI proposes a practical framework for deciding how much authority to hand an agent.
- Method: separates three things the field conflates—model competence, harness integration, and the authority a deployment actually grants—organizing evidence along delegated authority, temporal persistence, and environmental coupling.
- Key finding: expansion of action interfaces is documented far more convincingly than robust completion, recovery, authorization, or independent verification; MCP and Agent2Agent improve interoperability without proving delegation is trustworthy.
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