Microsoft states that its AI systems should be understandable, with people having sufficient information to know when and how AI is being used and what its limitations are.
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 principle addresses explainability and disclosure in AI systems, which is directly relevant to regulatory requirements around automated decision-making and the right to explanation under frameworks such as GDPR.
Interpretive note: The document text was not fully available for direct quotation; the principle is characterized based on publicly known content and the page's stated subject matter. Regulatory applicability depends heavily on the specific product and jurisdiction.
This is a stated design principle; it does not independently establish a right to explanation for consumers subject to automated decisions in Microsoft AI products. Applicable legal rights to explanation depend on the specific product, jurisdiction, and regulatory framework governing the use case.
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(1) REGULATORY LANDSCAPE: Transparency obligations for automated decision-making are addressed under GDPR Article 22 and Recital 71, which provide rights related to automated decisions with significant effects. The EU AI Act imposes transparency requirements for certain AI system categories. This policy statement does not satisfy the specific disclosure obligations under these frameworks. The FTC has also issued guidance on transparency in AI-driven commercial practices. (2) GOVERNANCE EXPOSURE: Medium for organizations deploying Microsoft AI in automated decision-making contexts that trigger GDPR Article 22 or EU AI Act transparency requirements, because reliance on this policy statement rather than product-level disclosures and consent mechanisms would be insufficient. (3) JURISDICTION FLAGS: EU/EEA deployments involving automated decisions with legal or significant effects create the highest exposure. US states with algorithmic transparency legislation also create heightened exposure for certain use cases. (4) CONTRACT AND VENDOR IMPLICATIONS: Enterprise customers should verify that Microsoft's product-level documentation supports the transparency disclosures required by applicable law, and that data processing agreements address automated decision-making requirements. (5) COMPLIANCE CONSIDERATIONS: Organizations subject to GDPR Article 22 should conduct a separate assessment of whether their use of Microsoft AI products requires a data protection impact assessment and appropriate transparency notices to affected individuals.
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This principle addresses explainability and disclosure in AI systems, which is directly relevant to regulatory requirements around automated decision-making and the right to explanation under frameworks such as GDPR.
This is a stated design principle; it does not independently establish a right to explanation for consumers subject to automated decisions in Microsoft AI products. Applicable legal rights to explanation depend on the specific product, jurisdiction, and regulatory framework governing the use case.
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