Audit Trail

An audit trail is a comprehensive, timestamped log that records every significant event in the lifecycle of an AI hiring tool and its compliance activities. In the context of AI hiring bias auditing, an audit trail includes: records of each bias audit performed (date, methodology, data used, findings), remediation actions taken in response to audit findings, changes made to the AI model or its configuration, candidate notifications issued, data access and processing records, and human override decisions. Audit trails serve multiple critical functions. For regulatory compliance, they demonstrate that required audits were performed and that findings were addressed. For legal defense, they provide evidence of good faith compliance efforts. For internal governance, they enable tracking of compliance activities across multiple tools and business units. The EU AI Act explicitly requires automatic logging capabilities for high-risk AI systems, and NYC LL144 implicitly requires audit trails through its documentation and publication requirements. OnHirely automatically generates and maintains audit trails for all analyses performed on the platform, creating a compliance record that employers can reference for regulatory inquiries or legal proceedings.