A US magistrate judge has compelled Meta to disclose executives responsible for approving the torrenting of copyrighted books from shadow libraries in building its AI datasets, challenging the company’s claim that no formal decisions were made.
- Judge orders Meta to name executives who approved torrenting
- Meta claims no formal decisions were made to pirate books
- Discovery includes command history files for torrenting servers
What happened
A US court has ordered Meta to identify the specific executives, managers, and supervisors who authorized or approved the downloading of copyrighted books through torrenting from shadow libraries such as Anna’s Archive and LibGen. This discovery order comes amid a class-action lawsuit filed by authors and a separate case from publisher Entrepreneur Media, alleging Meta unlawfully used these works to train its AI datasets.
Meta previously tried to deflect responsibility by claiming no formal decisions were made to pirate content, describing their data compilation as an 'informal approach.' However, testimony from Meta staff who conducted the torrenting has implicated a broader chain of command, prompting the judge to demand clarity on who within the company knew of or approved this conduct.
Why it matters
This court ruling is significant because it challenges Meta’s narrative that no one at the company authorized copyright infringement during AI training. By compelling Meta to identify decision-makers, including executives who greenlit or oversaw the torrenting effort, the case moves closer to establishing direct accountability for alleged contributory infringement.
Additionally, Meta must produce detailed server logs and command history related to the torrenting activity, which could provide critical evidence about the scale of seeding and whether mitigation efforts to prevent illegal distribution were effective or merely a legal shield. The outcome could set a precedent for how tech companies manage copyrighted content in AI training.
What to watch next
Legal observers will monitor how Meta complies with the order, including whether it discloses key personnel and internal communications around the use of pirated books for AI training. The release of server command logs could further illuminate the technical process behind Meta’s data collection and reveal gaps or contradictions in their public defense.
The lawsuits may gain momentum depending on the evidence uncovered, potentially increasing pressure on Meta and other AI developers to adopt stricter compliance and transparency measures. Ongoing discovery and testimony phases will be critical to understanding the role of corporate leadership in the alleged infringement and could influence future policy debates on AI training data usage.