Authors are expressing a range of emotions following the landmark $1.5 billion settlement regarding copyright infringement involving the AI company Anthropic. Among the principal plaintiffs, bestselling author Charles Graeber shared his pride in being part of a coalition of writers and publishers who successfully challenged Anthropic. However, he stopped short of labeling the outcome as an unequivocal victory.
Graeber is one of over 300,000 authors slated to receive a payout as a result of the class action lawsuit against Anthropic, which concluded with a federal judge in San Francisco approving the substantial settlement last July. The lawsuit originated two years prior when authors asserted that Anthropic had trained its AI chatbot, Claude, using content from millions of copyrighted books without obtaining permission or compensating the authors.
Graeber anticipates receiving approximately $3,100 for each of his two books utilized in training Claude, including his acclaimed true crime title, "The Good Nurse," recently adapted into a Netflix film. He believes this monetary compensation reinforces the principle that copyright infringement is a serious offense. Nevertheless, he reflected on the last two years of legal battles as costly, both financially and in terms of opportunity, stating, “I’m much poorer for this settlement, ironically.”
While the total compensation appears substantial, it will be divided among thousands of authors and their publishers, with over $100 million earmarked for legal fees. Some observers argue that the ruling may ultimately favor AI companies more than the publishing sector.
From the standpoint of the court's decision, it was determined that Anthropic's use of authors’ copyrighted works for AI training could be considered fair use as long as proper compensatory measures are taken. "Training AI on books is fair use under copyright law," stated Aparna Sridhar, deputy general counsel for Anthropic, noting that a significant majority of authors and publishers involved in the settlement have claimed their share.
There have been previous rulings that aligned with this perspective. For instance, a federal judge ruled in Meta's favor in a similar case last year when authors accused the company of leveraging pirated novels for AI model training. Meta successfully defended itself, citing fair use when the authors could not demonstrate that the use had harmed the market for their original works.
Best-selling author Andrea Bartz, who also participated as a plaintiff in the Anthropic case, expressed skepticism regarding the fair use argument, highlighting that AI-generated texts represent a competitive threat to human-authored works. “The algorithm is being used to essentially try to put us out of a job,” Bartz remarked.
Furthermore, as U.S. copyright laws evolve, there’s no certainty that other countries will adopt similar protections. Intellectual property attorney Dale Nelson pointed out that foreign AI companies, particularly those based in countries like China, might pose additional challenges, given the stringent control their governments exert over corporate operations.
In light of these complexities, Bartz advocates for international regulatory measures to prevent the unchecked proliferation of AI technology across borders. She proposed a non-proliferation agreement to facilitate fair use globally as nations vie for supremacy in AI development.
Despite looming challenges, Bartz remains hopeful about the increasing number of copyright infringement lawsuits centered on AI, believing that these actions could foster a more equitable landscape for creators. “My hope is that this lawsuit is the first of many steps that will create a more fair environment for creatives in the era of AI,” she expressed.
Looking ahead, one potential avenue for securing better compensation for authors in the AI landscape is through licensing agreements. Umair Kazi, director of policy and advocacy at Authors Guild, explained that licensing could ensure legal compliance for AI training while allowing rights holders to determine the extent to which their works are utilized, such as restricting the creation of derivative content.
Some instances of licensing agreements already exist, like the collaboration between Perplexity AI and various media organizations to legally acquire content for AI training. However, Kazi notes that licensing remains infrequent due to ongoing litigation among major AI companies over training practices. The future impact of licensing agreements on the relationship between authors and AI firms is yet to be determined.
