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AI Governance Institute

Practical Governance for Enterprise AI

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Supply Chain Accountability

Supply chain accountability refers to the mechanisms and responsibilities that ensure transparency and oversight of AI systems as they move through development, deployment, and operational stages across multiple organizations and vendors. This matters for AI governance because AI systems often depend on third-party data providers, model creators, infrastructure suppliers, and integration partners, creating complex webs of liability and quality control. Without clear accountability frameworks, organizations risk deploying AI systems with unknown biases, security vulnerabilities, or compliance gaps that originated upstream in the supply chain.

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