Signals from across the Life Sciences industry suggest that the challenge is no longer a lack of ambition around AI in R&D, but the difficulty of sourcing data that is fit for purpose.
In today’s R&D organizations, corporate librarians and the data scientists they support are looking to acquire as much AI-ready content as they can for their internal AI workflows, including scientific articles that number in the thousands, and sometimes millions.Â
AI is transforming research and development by shifting how organizations interact with scientific content — from reading individual documents to loading large datasets for machine-driven analysis.
CCC supports the Transparency and Responsibility for Artificial Intelligence Networks (TRAIN) Act introduced by United States House Representatives Madeleine Dean and Nathaniel Moran.
Industry experts discuss the interplay between AI developers, users, and publishers, debate questions of infringement, fair use, and tolerated uses, and share their experience of practical approaches to licensing.
