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The ruling lets authors including George R.R. Martin proceed with lawsuits claiming OpenAI trained AI models using their copyrighted works without permission.
- On Monday, U.S. District Judge Sidney Stein ruled class-action copyright suits against OpenAI and Microsoft may proceed, citing ChatGPT text linked to A Song of Ice and Fire and substantial similarity to plaintiffs' works.
- Authors including George R.R. Martin, Michael Chabon, Ta-Nehisi Coates, Jia Tolentino and Sarah Silverman allege OpenAI and Microsoft used their works without permission to train large language models, allowing AI to create content resembling their protected works.
- A ChatGPT prompt from Martin's lawyers produced an AI offer of an alternative sequel titled A Dance with Shadows and suggested plots with ancient dragon-related magic, Lady Elara, and a rogue sect of Children of the Forest.
- The court left open `fair use` questions as it found AI outputs reminiscent enough to let infringement claims against OpenAI and Microsoft advance, a partial win for authors.
- Critics note Sure, AI can write faster than Martin but it is not Martin and will never replace Martin, while the Game of Thrones franchise’s 73 episodes underscore what creators seek to protect.
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16 Articles
When an American federal judge decided to allow the continuation of a wide collective process against OpenAI, he also quoted fan fiction type literature inspired by letters based on “Game of Thrones”...
·Romania
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George R.R. Martin's Copyright Lawsuit Against OpenAI Gains Traction in Court
George R.R. Martin of A Game of Thrones fame and a group of fellow authors have made substantial progress in their ongoing legal battle against AI giant OpenAI. The authors allege that Sam Altman's AI giant pirated their books online, trained ChatGPT and other AI models on their works, and then allowed AI to plagiarize their works when answering user queries.
·United States
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The case marks a milestone in the struggle for copyright in the AI era.
Coverage Details
Total News Sources16
Leaning Left3Leaning Right1Center1Last UpdatedBias Distribution60% Left
Bias Distribution
- 60% of the sources lean Left
60% Left
L 60%
C 20%
R 20%
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