Controls.

Each entry is a specific control: what it does, where it fits in the prevent, detect, correct and direct lifecycle, and which risks it addresses, graded primary, supporting or compensating. 105 controls.

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7 of 105 controls shown.

IDControlFamilyType
C-023Approval gates for high-impact agent actions Before an agent takes an action above a defined impact threshold, or one that cannot be reversed, a designated person reviews the exact action and approves or rejects it.09 Human Oversight & ContestabilityPreventive
C-019Automated decision-making safeguards Significant decisions taken with no meaningful human involvement are identified, and each has the safeguards the law requires: information, a chance to make representations, human intervention and a means to contest.09 Human Oversight & ContestabilityDirective
C-102Contestability and appeals process People affected by an AI-supported decision can challenge it and have it reviewed afresh by someone with the authority, information and independence to change it.09 Human Oversight & ContestabilityCorrective
C-078Escalation to a human Automated channels offer a prompt, unobstructed route to a person, available on request and triggered automatically by defined signals, with the conversation handed over.09 Human Oversight & ContestabilityPreventive
C-094Human override and stop mechanism A designated person can pause, override or shut down an AI system at any time through a tested mechanism, with the authority to do so settled in advance.09 Human Oversight & ContestabilityCorrective
C-002Human-in-the-loop review Consequential AI outputs and decisions are reviewed by a competent person, with the time, information and authority to change them, before they take effect.09 Human Oversight & ContestabilityPreventive
C-101Reviewer effectiveness testing Override rates, review times and seeded test cases are used to confirm that human reviewers actually detect and correct the system's errors.09 Human Oversight & ContestabilityDetective