Microsoft · Microsoft Responsible AI Principles

Accountability Principle

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What it is

The people who design and deploy AI systems must be accountable for how their systems operate. We should draw on human institutional experience with other technologies to develop norms for assigning accountability for the results of AI systems.

Why it matters

This principle assigns moral responsibility but does not specify legal accountability, indemnification, or consumer redress — making it aspirational rather than legally operative.

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 has authority to investigate whether AI accountability representations are fulfilled in practice and to pursue action where they constitute deceptive trade practices.
    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-002532
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-002532
Captured: 2026-03-15 11:24:32 UTC | SHA-256: 23a6ca38df3168c4…
URL: https://conductatlas.com/platform/microsoft/microsoft-responsible-ai-principles/accountability-principle/
Accessed: April 13, 2026
Classification
Severity
Low
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