Auditability makes AI decisions inspectable and accountable. An audit log records system events, actions, or changes chronologically, creating a traceable record for reviewing what happened and supporting human oversight. section 11.6
In a customer-facing AI system, audit logs help teams identify and correct errors before they escalate. They work alongside explainability, oversight mechanisms, and escalation pathways rather than replacing human judgment. section 11.6 section 12.3.2
Practical auditability supports:
- Reviewing AI-generated decisions when recommendations are incorrect or dangerous. section 11.6
- Investigating visible failures and correcting problems before they damage trust. section 12.3.2
- Demonstrating responsible operation while communicating system limitations and safeguards. section 12.3.2
Customer-facing AI failure
When a chatbot fails during peak demand, escalation to live agents limits disruption; audit logs help explain the failure and support rapid correction. section 12.3.2
