What is Training Data Inventory?
A training data inventory is a documented record of the data sources, categories, provenance, and key characteristics used to train or fine-tune an AI system. It is important in compliance because regulators and auditors use it to assess data governance, copyright, privacy, bias, and accountability controls.
In Depth
In practice, a training data inventory should let an organization trace where training data came from, what rights or restrictions apply to it, whether it contains personal data or sensitive data, and how it was selected, filtered, and updated. Compliance teams use it to support data lineage, vendor due diligence, recordkeeping, model risk reviews, and responses to regulator or customer inquiries about how a model was built.
This term is especially relevant under the EU AI Act, which expects technical documentation and data governance measures for certain AI systems, and under ISO/IEC 42001 and NIST AI RMF, both of which emphasize lifecycle documentation and data management. It is also useful for privacy, intellectual property, and security obligations in jurisdictions that require organizations to show lawful processing, purpose limitation, and control over training inputs.
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