Topic

Traceability

Traceability refers to the ability to track and document the complete lineage of data, models, and decisions throughout an AI system's lifecycle, from raw inputs through processing to final outputs. In enterprise AI governance, traceability is critical for regulatory compliance, audit requirements, and bias detection, as it enables organizations to explain how decisions were made and identify where problems occurred. Strong traceability practices support accountability, facilitate root cause analysis when issues arise, and help demonstrate responsible AI practices to regulators and stakeholders.

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