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.
Browse by list or family
13 of 105 controls shown.
| ID | Control | Family | Type |
|---|---|---|---|
| C-079 | Accessibility and inclusive design review AI-driven channels are designed and tested with assistive technology and with people who have access needs before release, and an equivalent alternative route is kept available. | 07 Fairness & Customer Outcomes | Preventive |
| C-015 | AI impact assessment process A structured assessment of an AI system's effect on individuals, groups and society is completed and signed off before deployment, and revisited when the system or its use changes. | 03 Regulatory & Legal Compliance | Directive |
| C-007 | Bias testing and fairness monitoring A system's performance and outcomes are measured separately for each relevant group before release and on a set cycle in production, against thresholds that trigger investigation. | 07 Fairness & Customer Outcomes | Detective |
| C-035 | Content safety filtering Inputs and outputs are classified against defined harm categories by a mechanism independent of the main model, and are blocked, modified or escalated according to policy. | 10 Security & Resilience | Preventive |
| C-076 | Customer outcome monitoring The outcomes customers receive from AI-driven journeys are measured, broken down by customer group and compared with other channels, and poor outcomes are investigated and acted on. | 07 Fairness & Customer Outcomes | Detective |
| C-080 | Customer remediation for AI errors When an AI error is found, all affected customers are identified, told, and put back in the position they should have been in, whether or not they complained. | 07 Fairness & Customer Outcomes | Corrective |
| C-068 | Data quality and representativeness checks Training, test and reference data are assessed for accuracy, completeness, currency and coverage of the population the system will serve, before use and at each refresh. | 04 Data & Data Governance | Detective |
| 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-008 | Factuality and hallucination verification Claims, figures and citations in AI-generated output are checked against a trusted source before the output is relied on for a consequential decision or sent to a customer. | 05 Model & System Lifecycle | Detective |
| C-075 | Fairness requirements and metric selection For each system that affects people, the relevant groups, the legal test, the fairness measures and their thresholds are defined and justified before testing begins. | 07 Fairness & Customer Outcomes | Directive |
| C-081 | Pricing fairness review AI-driven prices and offers are reviewed, before use and on a set cycle, for differences between customer groups that cost or risk does not justify. | 07 Fairness & Customer Outcomes | Detective |
| C-082 | Review of AI-generated communications Customer communications produced by AI are checked against content standards before use, in full or by sampling according to risk, and required wording is enforced. | 07 Fairness & Customer Outcomes | Preventive |
| 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 |