Contractual AI Governance

Contractual AI governance encompasses the terms, conditions, and obligations that organizations embed in vendor agreements, service level agreements, and partnership contracts to manage AI system risks and compliance requirements. These contractual frameworks typically address model transparency, data handling practices, liability allocation, audit rights, and performance standards that are critical when third parties develop, deploy, or integrate AI systems on behalf of an enterprise. For organizations subject to regulatory scrutiny, contractual AI governance serves as a foundational accountability mechanism that ensures vendors meet security, fairness, and explainability standards without requiring direct operational control over external AI systems.

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Corporate PolicyUS2026-09-09

Microsoft's Contractual AI Safeguards for Schools Set a Vendor Governance Template

Microsoft has agreed to ten contractually enforceable AI safety and privacy commitments with the American Federation of Teachers and its New York City affiliate, covering student and educator data used in school AI deployments. The commitments include prohibitions on training AI models on student data, limits on data collection, plain-language family disclosures, bans on AI companion features, and mandatory human review for high-risk decisions. School districts can opt into these terms within existing contracts starting in November 2025.

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