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
This establishes that responsible validation is treated as an important requirement, linking model evaluation to fairness and factual alignment outcomes.
Interpretive note: The word 'emphasizes' expresses a stated priority rather than a binding obligation. The excerpt does not specify the method, frequency, or scope of validation, nor who performs it.
Microsoft treats responsible validation of AI models as an important practice bearing on fairness and how accurately AI reflects reality.
How other platforms handle this
we may use de-identified information for the purpose of training our AI models and AI-supported services.
PRIOR TO ANY USE OF A MODEL, CUSTOMER AND ITS AUTHORIZED USERS WILL MAKE THEIR OWN DETERMINATIONS AS TO THE EFFICACY, ACCURACY, LAWFULNESS, AND APPROPRIATENESS OF THE MODEL OR ANY OUTPUT FOR ANY GIVEN USE.
We also provide model explainability when an AI prediction or recommendation is made.
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"Microsoft also emphasizes the importance of validating AI models responsibly to enhance fairness and alignment with reality.— Excerpt from Microsoft's Microsoft Responsible AI Standard
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This establishes that responsible validation is treated as an important requirement, linking model evaluation to fairness and factual alignment outcomes.
Microsoft treats responsible validation of AI models as an important practice bearing on fairness and how accurately AI reflects reality.
ConductAtlas has identified this type of provision across 212 platforms. See the full comparison.
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