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Encyclopedia Britannica sues OpenAI over AI training
Encyclopaedia Britannica and Merriam-Webster accuse OpenAI of copying nearly 100,000 articles to train ChatGPT, seeking damages and an injunction for copyright and trademark infringement.
- On Friday, Encyclopaedia Britannica and its Merriam-Webster subsidiary filed a lawsuit against OpenAI in Manhattan federal court, alleging the AI giant misused their reference materials to train its artificial intelligence models without permission.
- The complaint alleges OpenAI used nearly 100,000 online articles for its flagship chatbot, ChatGPT, generating AI summaries that 'cannibalized' Britannica's web traffic by diverting users from the publisher's websites.
- Beyond copyright claims, Britannica alleges OpenAI violates the Lanham Act through false hallucinations, while arguing the firm takes a 'free ride' on 'trusted' content, starving it of crucial advertising revenue.
- An OpenAI spokesperson defended the practice on Monday, asserting that 'our models empower innovation' and are trained on publicly available data grounded in fair use standards.
- This litigation joins a growing wave of lawsuits from news outlets and authors against tech companies, though legal precedents remain uncertain whether training large language models on copyrighted content constitutes infringement.
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The New York Ledger
The New York LedgerEncyclopedia Britannica, Merriam-Webster sue OpenAI over ‘Massive Copyright Infringement’
Encyclopedia Britannica and its Merriam-Webster subsidiary filed suit against OpenAI on Friday, accusing the artificial intelligence giant of unlawfully copying nearly 100,000 copyrighted articles to train its GPT large language models.
·United States
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Encyclopedia Britannica sues artificial intelligence for stealing content | chatgpt | openAI | AI | encyclopedia | web traffic
Encyclopaedia Britannica takes on OpenAI
·Budapest, Hungary
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Total News Sources62
Leaning Left12Leaning Right7Center9Last UpdatedBias Distribution43% Left
Bias Distribution
- 43% of the sources lean Left
43% Left
L 43%
C 32%
R 25%
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