The rise of large language models (LLMs) is reshaping knowledge production, raising urgent questions for research communication and publishing writ large. Drawing on qualitative survey responses from over 850 academic book authors from across a range of fields and institutions, we highlight widespread concern about the unlicensed use of in-copyright scientific and scholarly publications for AI training. Most authors are not opposed to generative AI, but they strongly favor consent, attribution, and compensation as conditions for use of their work. While the key legal question—whether LLM training on in-copyright content is a fair use—is being actively litigated, universities and publishers must take the lead in developing transparent, rights-respecting frameworks for LLM licensing that consider legal, ethical, and epistemic factors. These decisions will shape not only the future of authorship and research integrity, but the broader public trust in how knowledge is created, accessed, and governed in the digital age.