Governance

Data Lineage

Definition

The ability to track data's origin, movement, transformations, and consumption throughout a system. Data lineage is essential for AI auditability, debugging model behaviour, and demonstrating GDPR and EU AI Act compliance to regulators.

Related Terms

Data Governance

The policies, processes, and standards that manage data availability, usability, integrity, and security throughout its lifecycle. Strong data governance is a prerequisite for trustworthy AI—the EU AI Act explicitly requires data governance practices for training, validation, and testing datasets.

AI Auditability

The ability of an AI system's behaviour, decisions, and data flows to be independently examined and verified. Auditability requires comprehensive logging, version-controlled model artefacts, and documented decision trails—all prerequisites for EU AI Act conformity assessment.

Technical Documentation (AI Act)

A mandatory artefact under the EU AI Act that high-risk AI providers must prepare and maintain, detailing the system's purpose, architecture, training methodology, validation data, performance metrics, risk management measures, and post-market monitoring plan.

Knowing the Terms Is Step One. Applying Them Is Step Two.

Book a 30-minute call to discuss how these AI concepts translate to your specific industry and business challenges.