The document states that Microsoft has a Responsible AI Standard and an Office of Responsible AI, and recommends that other organizations adopt similar governance structures and tools.
This analysis describes what Microsoft's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
The existence of a named Responsible AI Standard and Office of Responsible AI constitutes a stated internal governance structure that enterprise customers and regulators may reference in vendor assessments. The Responsible AI Dashboard is described as a suite of tools for end-to-end responsible AI experience management.
Cross-platform context
See how other platforms handle Responsible AI Standard and Office of Responsible AI and similar clauses.
Compare across platforms →"To introduce AI responsibly, organizations should develop a Responsible AI Standard, like Microsoft's, covering principles such as fairness, reliability, privacy, and inclusiveness. Here are additional steps organizations may take to ensure responsible AI use: Establish an Office of Responsible AI to oversee ethics and governance. Implement AI governance tools like the Microsoft Responsible AI Dashboard to monitor and manage AI systems.Excerpt from Microsoft's Responsible AI Standard
REGULATORY LANDSCAPE: Internal AI governance structures such as an Office of Responsible AI and a published Responsible AI Standard are relevant to compliance with the EU AI Act, which requires documented risk management and governance …
Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.
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The existence of a named Responsible AI Standard and Office of Responsible AI constitutes a stated internal governance structure that enterprise customers and regulators may reference in vendor assessments. The Responsible AI Dashboard is described as a suite of tools for end-to-end responsible AI experience management.
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