GitHub · GitHub Copilot Product Terms · View original document ↗

Acceptable Use and AI Code of Conduct

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Document Record

What it is

The terms require users to comply with the GitHub Acceptable Use Policies, the Microsoft Generative AI Services Code of Conduct, and the Microsoft Customer Copyright Commitment Required Mitigations. These govern both the inputs users submit and the outputs they generate using Copilot.

This analysis describes what GitHub'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

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

This provision incorporates three external policy documents by reference, including a Microsoft policy, creating a multi-document compliance obligation. The Required Mitigations at aka.ms/AIfilters establish specific technical and procedural obligations that apply alongside the GitHub Acceptable Use Policies.

Consumer impact (what this means for users)

Under these terms, users are bound by the GitHub Acceptable Use Policies, the Microsoft Generative AI Services Code of Conduct, and the Microsoft Customer Copyright Commitment Required Mitigations, all incorporated by reference. Violations of any of these documents may constitute a breach of the agreement.

Cross-platform context

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▸ View Original Clause Language DOCUMENT RECORD
"
Your use of GitHub Copilot is subject to the Acceptable Use Policies, the AI Code of Conduct, and the Required Mitigations. For example, you may not prompt GitHub Copilot with content that is unlawful or otherwise prohibited by the Acceptable Use Policies, and you may not use GitHub Copilot to generate Suggestions whose use you know (or reasonably should know) would be unlawful or would infringe on the rights of others.

Excerpt from GitHub's Copilot Product Terms

ConductAtlas Analysis

Institutional analysis (regulatory & governance intelligence)

(1) REGULATORY LANDSCAPE: The incorporation of the Microsoft Customer Copyright Commitment Required Mitigations engages copyright law frameworks relevant to AI-generated output, including DMCA provisions in the US and EU Copyright Directive obligations. The AI Code of Conduct reference engages the evolving EU AI Act framework, which may impose additional obligations on deployers of AI tools in regulated contexts. (2) GOVERNANCE EXPOSURE: Medium. The incorporation of three separate external documents by reference creates a compliance obligation that extends beyond the terms of this document alone. Organizations must independently monitor each referenced document for changes, as updates to the Acceptable Use Policies, AI Code of Conduct, or Required Mitigations would affect the applicable obligations under this agreement. (3) JURISDICTION FLAGS: EU/EEA organizations should evaluate whether the Microsoft Generative AI Services Code of Conduct and Required Mitigations satisfy EU AI Act compliance obligations for AI system deployers. Organizations in jurisdictions with sector-specific AI governance requirements (financial services, healthcare) should assess whether the referenced policies are sufficient for their regulatory context. (4) CONTRACT AND VENDOR IMPLICATIONS: The incorporation of Microsoft-authored policy documents into a GitHub agreement reflects the Microsoft-GitHub corporate relationship and creates a vendor dependency for compliance purposes. Procurement teams should note that changes to any of the three referenced documents could modify the applicable obligations without requiring amendment to this agreement. (5) COMPLIANCE CONSIDERATIONS: Compliance teams should maintain current copies of all three referenced documents and establish a monitoring process for updates. Internal acceptable use policies governing Copilot should be aligned with the requirements of all three incorporated documents, not solely the GitHub Acceptable Use Policies. Legal teams should assess whether the 'reasonably should know' standard in the Acceptable Use obligation creates a due diligence requirement that necessitates formal review procedures for Suggestion use.

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Provision details

Document information
Document
GitHub Copilot Product Terms
Entity
GitHub
Document last updated
May 11, 2026
Tracking information
First tracked
July 12, 2026
Last verified
July 12, 2026
Record ID
CA-P-074182
Document ID
CA-D-00776
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
84c17d24d27ade5447d26fe46e6147312edfe991c45fa6a641e9ab5d665ed29c
Analysis generated
July 12, 2026 14:12 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: GitHub
Document: GitHub Copilot Product Terms
Record ID: CA-P-074182
Captured: 2026-07-12 14:12:12 UTC
SHA-256: 84c17d24d27ade54…
URL: https://conductatlas.com/platform/github/github-copilot-product-terms/provision/CA-P-074182/acceptable-use-and-ai-code-of-conduct/
Accessed: July 23, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
Medium
Categories

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Frequently Asked Questions

What does GitHub's Acceptable Use and AI Code of Conduct clause do?

This provision incorporates three external policy documents by reference, including a Microsoft policy, creating a multi-document compliance obligation. The Required Mitigations at aka.ms/AIfilters establish specific technical and procedural obligations that apply alongside the GitHub Acceptable Use Policies.

How does this clause affect you?

Under these terms, users are bound by the GitHub Acceptable Use Policies, the Microsoft Generative AI Services Code of Conduct, and the Microsoft Customer Copyright Commitment Required Mitigations, all incorporated by reference. Violations of any of these documents may constitute a breach of the agreement.

Is ConductAtlas affiliated with GitHub?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by GitHub.