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Supply Chain Documentation
Supply chain documentation refers to the records and evidence that track AI components, training data sources, model provenance, and third-party dependencies throughout the development and deployment lifecycle. This documentation is critical for enterprise AI governance because it enables organizations to identify risks, verify compliance with regulations like the EU AI Act, and demonstrate due diligence during audits or incident investigations. Without comprehensive supply chain documentation, companies cannot effectively manage vendor relationships, ensure data lineage, or trace the origin of potential biases or vulnerabilities in their AI systems.
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