AI feedback loops

AI-action feedback crosses a gate for evidence, outcome validation, provenance, policy, scope, and authority before acceptance, correction, or rejection changes future system state.

Feedback Is the Control Plane: Preventing AI Systems From Repeating the Wrong Behavior

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Decide which production experiences may influence future AI behavior. Qualify observations, route corrections to the right layer, evaluate changes, and control their promotion into durable knowledge or policy.