Accountability Mechanisms

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Accountability mechanisms clarify responsibility for an AI system across its lifecycle. They establish who can approve deployment, who controls changes, and who owns the response when an incident happens. This prevents situations where outcomes have no clear owner.

Accountability is supported by records that show how the system evolved and how it was used in practice. Documentation, logs, and decision notes make it possible to understand why choices were made and whether the system is being used as intended. Clear procedures for reporting issues and implementing fixes ensure that responsibility leads to follow-through.

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