The documented history of data from its origin through all transformations and uses, enabling traceability and accountability. Data lineage supports governance, auditability, and error tracing. In AI systems, lineage helps assess whether generated outputs can be traced back to reliable and compliant data sources. For more on governance frameworks, see our research on data governance in generative AI.
Data lineage is essential for compliance, debugging, and trust. In AI systems, understanding where training data came from helps assess potential biases and reliability.
Organizations developing AI systems use lineage tracking to document training data sources, enabling auditing and helping identify potential issues with model outputs.
Data lineage documentation helps auditors trace model outputs back to their original sources.