US District Court Decision in AI’s Favor Worries Open-Source Developers

A federal appeals court has ruled in favor of AI coding tools GitHub Copilot and OpenAI Codex, dealing a significant blow to open-source developers. The ruling stems from a lawsuit called Doe vs. GitHub, where anonymous plaintiffs argued that the AI tools used open-source code without proper attribution, copyright notices, and license terms.

However, the Ninth Circuit's September 16 decision suggests that the absence of such information in the generated code does not automatically constitute a violation of copyright under Section 1202 of the Digital Millennium Copyright Act (DMCA). Judge Eric Miller wrote that a tool's failure to include copyright information in a newly generated work does not equate to the removal of that information.

The decision narrows one potential legal pathway for open-source developers but does not entirely clear the way for AI companies to use open-source code without consequence. Open-source developer Karen Sadler cautioned against overreading the ruling, noting that many claims were dismissed on procedural grounds. The court did not determine whether training AI models on open-source code constitutes copyright infringement or fair use, nor did it decide whether output that closely matches protected source code infringes copyright.

This case primarily addresses the impact of lack of attribution on AI-generated code, but the broader implications for open-source licensing and AI usage remain uncertain, with numerous lawsuits and legal decisions yet to unfold.