Glossary term
Glossary term
Governance and Compliance
The ability to reconstruct decisions, inputs, outputs, approvals, model versions, data versions, and control actions across the AI lifecycle. Traceability is critical during incidents and audits because teams must quickly determine what happened, which version was involved, who approved it, and who may be affected.
MLflow Tracking provides experiment, model, and run lineage and is widely used in MLOps platforms including Databricks.
EU AI Act Article 12 requires automatic logging of events over the lifetime of high-risk AI systems to support traceability.
Weights and Biases, ClearML, and Comet provide commercial experiment tracking and traceability for AI development pipelines.