Traceability

The ability to track and document the lineage of an AI model, including its training data, testing results, and deployment locations, for audit and compliance purposes. Traceability supports transparency and accountability by enabling organizations to reproduce model results and explain decisions to stakeholders. For example, a regulated insurer may need to provide auditors with detailed records of how a pricing model was trained and validated.