Published • loading... • Updated
Publishers Accuse Google of Stealing Copyrighted Content in New Lawsuit
The publishers say Google copied millions of books and articles without permission and used Gemini to generate cheaper substitutes that undercut sales.
- On July 10, Hachette Book Group, Cengage Learning, Elsevier, and author Scott Turow filed a class-action lawsuit against Google in the U.S. District Court for the Southern District of New York, alleging copyright infringement in training Gemini.
- Plaintiffs allege Google secretly used books provided for limited-purpose programs like Google Books and Google Play to train Gemini, despite internal documents flagging such usage as "highly problematic for Google."
- Gemini creates "inferior knockoffs" and direct substitutes that mimic specific author styles, the suit claims, threatening the literary industry by generating books that compete with original works.
- Similar publisher suits against Meta and OpenAI precede this action, marking a shift from industry "crawler blocks" to aggressive legal challenges against AI companies lacking licensing agreements.
- While some rulings favor tech companies on AI "fair use," other legal disputes such as Anthropic's case ended in a $1.5 billion settlement for copyright piracy, creating legal uncertainty.
Insights by Ground AI
18 Articles
18 Articles
TechXplore+5 Reposted by 5 other sources
Publishers accuse Google of stealing copyrighted content in new lawsuit
Multiple book publishers sued Google on Tuesday for allegedly stealing copyrighted content, using it to train artificial intelligence (AI) models and then generating content that "directly" competes with the original authors' ...
·Douglas, United Kingdom
Read Full Article
Several publishing houses sued Google on Tuesday, accusing it of using copyrighted works without permission to train its artificial intelligence (AI) models.
·Montreal, Canada
Read Full Article
Coverage Details
Total News Sources18
Leaning Left5Leaning Right3Center4Last UpdatedBias Distribution42% Left
Bias Distribution
- 42% of the sources lean Left
42% Left
L 42%
C 33%
R 25%
Factuality
To view factuality data please Upgrade to Premium
