AMIA 2024

AI companies are eager to amass collections of content to train both large language and niche models. In some cases, companies turn to archives and pay handsomely for what, for them, is valuable and unique raw material. Only the largest and most well-resourced archives have been able to take advantage of this opportunity. We are exploring models that better highlight the value of archival content, give institutions more opportunity for partnerships, and try to give more balance in negotiations. We outline how rights issues can be resolved with more technical knowledge and better understanding of intended use of archival material. Importantly, we propose how, working collectively, archives can foster a new revenue stream for digitization, preservation, and improved access to their collections.