What is AI Audit Trail

Definition

An AI audit trail is a complete, tamper-evident record of an AI system's inputs, outputs, decisions, and changes over time, providing the traceability needed to investigate behaviour, demonstrate compliance, and hold AI-driven decisions accountable.

« Back to Glossary Index

Records AI inputs, outputs, and decisions for full traceability
Enables investigation of why the AI behaved as it did
Demonstrates compliance and accountability to regulators
Supports debugging and dispute resolution over AI decisions

Real World Example

A bank maintains an AI audit trail for its lending model logging every input, decision, and model version, so when an applicant disputes a decision, it can reconstruct exactly how and why the outcome was reached.

FAQs

What does an AI audit trail record?

Inputs, outputs, decisions, model versions, and changes over time, with traceability for each AI-driven action.

Why are AI audit trails important?

They provide accountability, support compliance, and enable investigation of AI behaviour and disputed decisions.

What makes a good audit trail?

Completeness, tamper-evidence, and enough detail to reconstruct how a given decision was reached.