Apple Faces Lawsuit Over AI Training With Pirated Books

Apple has been hit with a new copyright lawsuit in a California federal court, filed by two neuroscientists who accuse the tech giant of misusing their copyrighted books to train its recently unveiled Apple Intelligence artificial intelligence model.

The plaintiffs, Susana Martinez-Conde and Stephen Macknik, both professors at SUNY Downstate Health Sciences University in Brooklyn, New York, lodged a proposed class-action lawsuit on Thursday, claiming that Apple relied on illegal “shadow libraries” containing thousands of pirated books to develop and train its AI system.

The lawsuit marks Apple’s latest legal challenge amid a growing wave of litigation targeting major tech companies over alleged copyright violations in AI model training.

Authors Claim Use of ‘Shadow Libraries’

According to the complaint, Apple allegedly used datasets derived from “shadow libraries”—illicit online repositories known for distributing pirated works—to build and refine its AI capabilities. These datasets allegedly contained thousands of books, including those authored by the neuroscientists.

Among the works cited in the lawsuit are "Champions of Illusion: The Science Behind Mind-Boggling Images and Mystifying Brain Puzzles" and "Sleights of Mind: What the Neuroscience of Magic Reveals About Our Everyday Deceptions."

The neuroscientists contend that Apple used their books without authorization, violating federal copyright law and enriching itself through AI innovations trained on their creative efforts.

The lawsuit seeks unspecified monetary damages and a court order prohibiting Apple from further using or distributing its copyrighted works.

Apple’s AI Ambitions Under Fire

Apple Intelligence, introduced earlier this year, is a suite of AI-driven features integrated into iOS devices, including the iPhone, iPad, and Mac. It offers advanced functions such as contextual assistance, writing suggestions, and personalized automation powered by on-device and cloud-based machine learning.

The lawsuit points out that Apple’s market value soared following the official unveiling of Apple Intelligence. “The day after Apple officially introduced Apple Intelligence, the company gained more than $200 billion in value—the single most lucrative day in the history of the company,” the plaintiffs stated, arguing that this financial success was partly built on unlawfully obtained training materials.

Broader Context: Growing Legal Scrutiny of AI Training

This lawsuit adds Apple to the growing list of tech companies facing legal scrutiny over how they collect and use data to train AI models. Similar lawsuits have been filed against OpenAI, Microsoft, Meta Platforms, and other industry leaders, alleging the unauthorized use of copyrighted content such as books, news articles, and music.

In August, Anthropic, the AI company behind the Claude chatbot, agreed to pay $1.5 billion to settle a lawsuit filed by a group of authors who accused it of misusing their copyrighted materials during AI model training.

Authors, publishers, and media organizations worldwide have raised concerns that tech firms are training large language models on copyrighted content scraped from the internet without proper consent or compensation. Many claim that such practices undermine creative industries by reproducing and commercializing protected works under the guise of AI innovation.

Legal and Ethical Implications for Apple

While Apple has not publicly commented on the lawsuit, the case could have significant implications for its AI ethics policies and data governance standards. The plaintiffs argue that Apple’s alleged use of pirated material contradicts its long-standing reputation for strong intellectual property protection.

If the court finds Apple liable, it could face substantial financial penalties and be forced to revamp its AI training methods to ensure compliance with copyright law.

Legal experts note that these lawsuits could set a precedent for how courts define fair use in the context of AI, potentially shaping future regulations around AI data sourcing, copyright licensing, and model transparency.