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Sony, Warner Music Sue Anthropic in AI Copyright Lawsuit
The publishers say Anthropic trained Claude on tens of thousands of songs and seek up to $150,000 for each infringed composition.
- Sony Music Publishing and Warner Chappell Music filed a federal lawsuit late Friday in the Northern District of California against Anthropic, CEO Dario Amodei, and co-founder Benjamin Mann, alleging massive copyright infringement.
- The plaintiffs allege Anthropic illegally acquired thousands of musical compositions by scraping licensed sites and torrenting pirated books to train Claude, describing the conduct as a 'brazen campaign' of copyright theft.
- Specific songs allegedly harvested include "Ain't No Mountain High Enough" and "Livin' On a Prayer," with publishers seeking up to $150,000 per infringed work plus $25,000 for each removed copyright management instance.
- Demanding a jury trial, Sony and Warner Chappell argue Anthropic treats past settlements as the 'cost of doing business' while building a $2 trillion company using unauthorized works.
- Litigation from authors and publishers including Universal Music Group preceded this suit, marking an intensifying legal battle over intellectual property protection as AI companies expand their training methods.
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153 Articles
153 Articles
The IndependentReposted by 
The Independent (US)
The Independent (US)Sony and Warner Music sue Anthropic for using copyrighted music to train its AI
Last year, Anthropic made history as the first AI enterprise to settle such litigation, agreeing to a $1.5 billion payout to end a class action brought by authors
·London, United Kingdom
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Sony Music Publishing and Warner Chappell accuse Claude's creative company of using copyright-protected compositions without authorization. The claim filed in California could reach billions of dollars.
·Buenos Aires, Argentina
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Giants claim Claude was trained with compositions protected by property rights
·Barcelona, Spain
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Total News Sources153
Leaning Left23Leaning Right17Center16Last UpdatedBias Distribution41% Left
Bias Distribution
- 41% of the sources lean Left
41% Left
L 41%
C 29%
R 30%
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