Monitoring the papers that are fed to AI

A new tool is tracking which scholarly publishers are signing deals that allow tech firms to train large language models on academic papers and data. The deals have drawn attention from scientists and bodies representing scholars, who argue that researchers should be compensated if their work is used to train artificial intelligence and that they should also be able to opt out of having their work used in this way. In addition to compensation, other concerns are the accuracy of generative AI tools and whether the work will be provided with appropriate context. The tracker , launched on Oct. 15 by Ithaka S+R, a nonprofit that serves the academic and cultural communities, so far lists seven deals between academic publishers and tech firms. The agreements were or will be signed by Cambridge University Press, Oxford University Press, Taylor & Francis, Sage Publications, and John Wiley & Sons, according to the