ANTI-AI ARCHIVE
CASES / CASE-0204

Doe v GitHub: code attribution and copyright management information

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The court affirms dismissal of part of the DMCA action: the pleaded outputs lacking attribution did not establish removal or alteration of information from existing copies. The input theory was forfeited.

SOURCE DOCUMENT PAGE
Opening page of the source document associated with “Doe v. GitHub, Inc., No. 24-7700 — Opinion”. Original page layout retained; follow the source for the full text.View full image ↗

Opening page of the source document associated with “Doe v. GitHub, Inc., No. 24-7700 — Opinion”. Original page layout retained; follow the source for the full text.

Image source: U.S. Court of Appeals for the Ninth Circuit; rights remain with the original rights holders.

Source · Doe v. GitHub, Inc., No. 24-7700 — Opinion ↗
Dates describe collected records, not the full life of the case.
RESEARCH NOTE

An interlocutory appeal, not a blanket fair-use ruling on AI training; the opinion does not impose literal identicality as a separate requirement.

Case chronology

Ninth Circuit affirms dismissal of part of Copilot DMCA action

The court affirms dismissal of part of the DMCA action: the pleaded outputs lacking attribution did not establish removal or alteration of information from existing copies. The input theory was forfeited.

United StatesTechnical infrastructure / Knowledge production and academic labourEVT-0349

Research question

Editorial interpretation: examines relationships between creative labour, permission and institutional responses in this record.

Related documents

DOC-0410Doe v. GitHub, Inc., No. 24-7700 — Opinion

Sources

SRC-0419
Doe v. GitHub, Inc., No. 24-7700 — Opinion

U.S. Court of Appeals for the Ninth Circuit · EN · 2026-09-16

Cite this record

ANTI-AI ARCHIVE. “Doe v GitHub: code attribution and copyright management information.” case-0204. Include this page’s URL and your access date when citing.