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 clause extends the enumerated principles across the full AI system lifecycle—design, build, and operation—not merely at a single stage.
Interpretive note: The operative phrase 'thinking deeply' is qualitative and does not specify a concrete standard of conduct or outcome. The ellipsis in the evidence span indicates the excerpt is a fragment, and the surrounding context is not available to confirm that no conditions or qualifications were omitted.
Microsoft requires that its AI systems be designed, built, and operated with deep consideration of six named principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
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"thinking deeply about the ways that we design, build, and operate AI systems...issues such as fairness, reliability and safety, privacy and security, inclusiveness, transparency and accountability.Excerpt from Microsoft's Responsible AI Standard
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This clause extends the enumerated principles across the full AI system lifecycle—design, build, and operation—not merely at a single stage.
Microsoft requires that its AI systems be designed, built, and operated with deep consideration of six named principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
ConductAtlas has identified this type of provision across 279 platforms. See the full comparison.
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