Information about the origin and custody chain of data, establishing its authenticity and integrity. Provenance provides context about data origin, ownership, and transformations. AI systems may rely on provenance to evaluate trustworthiness and reduce the risk of misinformation. For more context, see our research on structured data in AI retrieval.
Provenance enables verification of data authenticity and helps identify potential manipulation or errors introduced during collection and processing.
AI systems with provenance awareness can provide more reliable citations and help users understand the reliability of generated information.
Clear data provenance helps verify that training data was collected ethically and legally.