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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11 of 105 controls shown.
| ID | Control | Family | Type |
|---|---|---|---|
| C-023 | Approval 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 & Contestability | Preventive |
| C-019 | Automated 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 & Contestability | Directive |
| C-102 | Contestability 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 & Contestability | Corrective |
| C-078 | Escalation 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 & Contestability | Preventive |
| C-097 | Explanations for affected individuals People subject to an AI-supported decision receive a meaningful explanation of what was decided, the main reasons in their case and how to challenge it. | 08 Transparency & Explainability | Directive |
| C-090 | Feedback and complaints channel for AI Users and affected people can report a problem with an AI system easily, and reports are triaged, linked to the system concerned and analysed for patterns. | 11 Monitoring, Assurance & Incidents | Detective |
| C-094 | Human 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 & Contestability | Corrective |
| C-002 | Human-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 & Contestability | Preventive |
| C-101 | Reviewer 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 & Contestability | Detective |
| C-103 | Role-based AI training Reviewers, developers, risk and assurance staff, approvers and front-line teams receive training specific to their AI responsibilities, with competence assessed and completion tracked. | 12 Skills, Capability & Culture | Directive |
| C-077 | Vulnerable customer safeguards Automated journeys detect indicators of vulnerability, adapt what they do, and route the customer to appropriate human support, with the disclosure recorded. | 07 Fairness & Customer Outcomes | Preventive |