Fairness Escalation

Explanation

Fairness Escalation checks that when a fairness breach is detected in an AI system, it is escalated quickly to the people empowered to act, rather than sitting in a monitoring report. This matters because a model that has started discriminating against a protected group, for example in loan approvals, can cause real and compounding harm with every additional decision, so speed of escalation is itself a control. It is measured by the Fairness Breach Escalation SLA, which tracks the time taken from detecting a fairness breach to notifying the responsible authorities. To implement it, connect your fairness-monitoring alerts directly into an escalation workflow with two routing paths and time-stamped handoffs, log who was notified and when, and treat the breach event as a nonconformity requiring corrective action; the control operates downstream of fairness metrics and as part of incident handling across document-extraction, RAG, and summarisation systems. The threshold is tiered: a fairness breach must reach Model Risk Management (MRM) in under 2 hours and the Chief Risk Officer (CRO) in under 24 hours. Missing these times is itself a control failure that triggers a corrective-action review. Its Immediate priority reflects that delayed escalation prolongs potential discrimination.