According to a person familiar with the situation, Microsoft has negotiated an agreement with News Corp.'s HarperCollins to use the book publisher's nonfiction titles to train its artificial intelligence models. Microsoft wants the HarperCollins novels for an unannounced model, according to the person who asked not to be identified because they were discussing confidential plans. According to the source, the corporation does not intend to exploit the content to create new books without the involvement of human authors. Microsoft declined to respond. Some publishers have complained about AI businesses bringing in content without permission. The New York Times is suing OpenAI and Microsoft for alleged copyright infringement. Perplexity AI, another AI business, has experienced similar legal challenges. Microsoft has arranged with HarperCollins to train its AI models using the publisher's nonfiction publications. This program intends to improve Microsoft's AI capabilities, but no particular details about the model or its applications have been made public.
HarperCollins acknowledged to Bloomberg News that it had established an agreement with an unidentified AI technology company to "allow limited use of select nonfiction backlist titles for training AI models to improve model quality and performance."
Microsoft stated that HarperCollins authors could choose whether or not to participate.
Using literary works in AI training has raised concerns among authors and the publishing industry. Authors are concerned about their works being incorporated into AI databases without permission, highlighting the need for authorization and payment. While HarperCollins has advocated for allowing authors to participate in such agreements, questions remain about the rights of persons who do not consent or are unaware that their works are being used. Copyright infringement is another big concern, as seen by ongoing lawsuits against AI companies such as OpenAI and Microsoft for unauthorised use of copyrighted content. Furthermore, the rise of AI-generated material threatens traditional publishing by potentially undervaluing original, human-created works and diverting demand away from established authors. Finally, financial offers such as HarperCollins' $2,500 proposal for exploiting writers' novels may appear coercive, especially during difficult economic times, leading many to view these incentives as exploitation rather than fair compensation.
"Part of our role is to present authors with opportunities for their consideration while simultaneously protecting the underlying value of their works and our shared revenue and royalty streams," the publisher added. "This agreement, with its limited scope and clear guardrails around model output that respects author's rights, does that."
Technology companies train AI models using a variety of data sources, ranging from social media sites to news articles, and companies such as Microsoft are looking for additional sources of high-quality text that they can licence to improve the accuracy, ability to answer questions, and expertise on specific subjects of their programs. In May, News Corp. signed an arrangement with OpenAI to allow the firm to use material from over a dozen of its magazines, including the Wall Street Journal, Barron's, and Marketwatch. OpenAI has also negotiated licensing agreements with publishers such as Axel Springer SE, The Atlantic, Vox Media, Dotdash Meredith Inc., Hearst Communications Inc., and Time magazine. Microsoft collaborated on AI initiatives with Reuters, Hearst, and Axel Springer, which publishes Business Insider and Politico.
Conclusion
Setting up a straightforward method for authors to opt in or out of utilising their works for AI training should help relieve worries. This would ensure that authors know how their content may be used. Implementing stronger legal protections for authors' copyright and intellectual property rights in the context of AI could help them defend their interests. This could include regulations addressing how literary works can be used in AI training. Developing proper remuneration arrangements for authors whose works are used in AI training may help to reduce financial concerns. This could include royalties or rewards based on how significantly their contribution contributes to AI results.