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Troutman Pepper Locke

California’s Latest Dueling Rulings — Fair Use of Copyrighted Materials in AI Algorithms

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Generative AI (GenAI) algorithms require data inputs to analyze, transform, and generate content. But does using copyrighted material without prior authorization for training or operating these algorithms infringe on the...more

Quarles & Brady LLP

Concerned about AI Training Data and Copyrighted Works? New Guidance from the Northern District of California

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Two recent district court opinions from the Northern District of California, filed within days of each other address the use of copyrighted material in training data in two separate market dominating Large Language Models...more

Ballard Spahr LLP

From Input to Impact: The Market Harm Standard Emerging in AI Fair Use

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Another federal court recently ruled that using copyrighted books to train artificial intelligence (AI) systems can qualify as fair use under the U.S. Copyright Act. This time, the court said that, because the issue of market...more

Ballard Spahr LLP

Novel Ruling Offers Framework for ‘Fair Use’ of Copyrighted Material for Training AI Systems

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The recent federal court finding—that using copyrighted books to train an AI large language model (LLM) qualifies as fair use—provides some guidance for companies developing or deploying generative AI systems and for...more

Jones Day

Two U.S. Courts Address Fair Use in Generative AI Training Cases

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Federal courts continue to address whether training artificial intelligence ("AI") models on copyrighted materials without a license constitutes copyright infringement....more

McDonnell Boehnen Hulbert & Berghoff LLP

Copywrong: Authors Miss the Mark(et Harm) when Arguing Meta Didn’t Engage in Fair Use

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Weighing in just two days after Judge Alsup of the U.S. District Court for the Northern District of California issued his fair use summary judgment opinion in Bartz v. Anthropic, Judge Chhabria (also of the Northern District...more

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