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Responsible AI Standard Reference

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What it is

We developed the Responsible AI Standard as a framework for AI development and deployment. It is a living document that will be updated as we learn more, and we have published it to share our learnings and to hold ourselves accountable.

Why it matters

The reference to a 'living document' means the specific standards Microsoft applies to AI can change without notice to consumers or enterprise customers, creating uncertainty about what commitments apply at any given time.

Consumer impact

This document describes Microsoft's internal ethical framework for AI and does not directly alter consumer data rights, impose fees, or restrict legal recourse — it is a voluntary policy statement. Consumers using Microsoft AI products such as Copilot or Azure OpenAI Service are subject to separate, binding Terms of Service and Privacy Policies that govern data collection, use, and sharing. You can review Microsoft's binding Privacy Statement at https://privacy.microsoft.com to understand what data Microsoft actually collects and how it is used.

Applicable agencies

  • FTC
    The FTC can investigate whether Microsoft's Responsible AI Standard commitments, as public representations, are maintained in practice or constitute deceptive practices if abandoned.
    File a complaint →

Provision details

Document information
Document
Microsoft Responsible AI Principles
Entity
Microsoft
Document last updated
March 24, 2026
Tracking information
First tracked
March 15, 2026
Last verified
April 9, 2026
Record ID
CA-P-002533
Document ID
CA-D-00019
Evidence Provenance
Source URL
Wayback Machine
SHA-256
23a6ca38df3168c404a699491ed0c3613a9ae7c2bd3913347338d808de2ae94a
Verified
✓ Snapshot stored   ✓ Change verified
How to Cite
ConductAtlas Policy Archive
Entity: Microsoft | Document: Microsoft Responsible AI Principles | Record: CA-P-002533
Captured: 2026-03-15 11:24:32 UTC | SHA-256: 23a6ca38df3168c4…
URL: https://conductatlas.com/platform/microsoft/microsoft-responsible-ai-principles/responsible-ai-standard-reference/
Accessed: April 13, 2026
Classification
Severity
Low
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