Microsoft · Responsible AI

Inclusiveness in AI Design

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What it is

Inclusiveness: AI should empower everyone, including people who have historically been excluded from digital technology due to disability, language, geography, or socioeconomic factors.

Why it matters

This commitment has direct implications for the accessibility and equal availability of Microsoft AI products across diverse user populations, including users with disabilities who may rely on AI-powered accessibility features.

Consumer impact

Microsoft's Responsible AI framework sets out the ethical principles — fairness, reliability, privacy, security, inclusiveness, transparency, and accountability — that govern how AI is built and deployed across all Microsoft products used by consumers. While these commitments signal meaningful intent, they are voluntary and do not create legally enforceable rights for individual users, meaning consumers harmed by AI decisions have limited direct recourse under this document alone. You can submit feedback or concerns about Microsoft AI systems through the dedicated responsible AI resources linked at microsoft.com/en-us/ai/responsible-ai.

Applicable agencies

  • State AG
    State attorneys general can enforce ADA digital accessibility requirements against Microsoft AI products that fail to accommodate users with disabilities.
    File a complaint →

Provision details

Document information
Document
Responsible AI
Entity
Microsoft
Document last updated
March 5, 2026
Tracking information
First tracked
March 15, 2026
Last verified
April 4, 2026
Record ID
CA-P-002076
Document ID
CA-D-00003
Evidence Provenance
Source URL
Wayback Machine
SHA-256
de99fca7fd2ebd374c7f5dd22d7ff57569e2321c88c91f75c4f9e17147793b07
Verified
✓ Snapshot stored   ✓ Change verified
How to Cite
ConductAtlas Policy Archive
Entity: Microsoft | Document: Responsible AI | Record: CA-P-002076
Captured: 2026-03-15 11:09:49 UTC | SHA-256: de99fca7fd2ebd37…
URL: https://conductatlas.com/platform/microsoft/responsible-ai/inclusiveness-in-ai-design/
Accessed: April 4, 2026
Classification
Severity
Low
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