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This page describes what the document states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability may vary by jurisdiction. Methodology
This document establishes Microsoft's stated principles and internal governance structures for artificial intelligence development and deployment, covering fairness, privacy, transparency, and accountability across its AI products. The document describes Microsoft's Responsible AI Standard, oversight bodies, and tools such as Fairlearn and InterpretML that the company states it employs in AI system development. The document does not create enforceable individual user rights and does not modify the terms of service or privacy policies governing specific Microsoft products.
This document is Microsoft's Responsible AI public-facing policy page, governing the ethical principles, governance structures, tools, and standards Microsoft states it applies to the development and deployment of artificial intelligence systems across its products and services. The document states commitments to six core AI principles — fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability — and describes internal governance mechanisms including a Responsible AI Standard, the Office of Responsible AI, and an AI, Ethics, and Effects in Engineering and Research (AETHER) Committee. The document is a public policy and values statement rather than a binding legal agreement; it does not create enforceable obligations on Microsoft toward individual consumers, and the gap between stated principles and operational implementation is not independently audited or verified within the document itself. The document engages with regulatory frameworks including the EU AI Act, GDPR, and emerging US federal and state AI governance initiatives, though the document does not assert compliance with any specific regulation and the applicability of these frameworks depends on jurisdiction, product type, and deployment context. Material compliance considerations for enterprise customers and institutional stakeholders include how Microsoft's stated Responsible AI Standard is incorporated into contractual terms, how the AETHER Committee's recommendations translate into product-level controls, and how voluntary commitments in this document interact with mandatory obligations under applicable law.
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3 versions captured · Last updated: April 2026
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