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In the aftermath of its recent lawsuit with The New York Times, OpenAI faces a fresh legal hurdle as authors Nicholas Basbanes and Nicholas Gage file a copyright infringement complaint. This follows OpenAI’s acknowledgment, during the NYT lawsuit, that copyright owners, including the plaintiffs, deserve compensation for the use of their work.
OpenAI and Microsoft are now grappling with another lawsuit, with nonfiction authors Basbanes and Gage alleging that the companies misappropriated their copyrighted works for the development of their artificial intelligence (AI) system.
The legal action, initiated on Friday, January 5, in a Manhattan federal court, comes merely a week after The New York Times filed a similar copyright infringement complaint against Microsoft and OpenAI. The NYT lawsuit contends that the companies utilized the newspaper’s content to train AI chatbots.
OpenAI’s acknowledgment regarding compensation for copyright owners is now spotlighted in this latest legal challenge. The NYT lawsuit seeks “billions of dollars” in damages, while the Basbanes and Gage suit is pursuing damages of up to $150,000 for each instance of copyright infringement.
This development underscores the complexity of intellectual property issues within the artificial intelligence landscape. Notably, the Authors Guild, led by notable figures such as George R.R. Martin and John Grisham, joined a class-action lawsuit against OpenAI in September, emphasizing the escalating legal concerns.
In a separate case, author Julian Sancton is suing OpenAI and Microsoft, accusing them of using his work without authorization for AI model training. The legal challenges extend further, with a class-action lawsuit in California accusing OpenAI, the creator of the popular chatbot ChatGPT, of allegedly scraping private user information from the internet.
Clarkson Law Firm filed this lawsuit in the United States District Court for the Northern District of California on June 28, 2023. The suit alleges that OpenAI trained ChatGPT without user consent, using data gathered from various sources, including social media comments, blog posts, Wikipedia articles, and family recipes.
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