If the Copyright Office were to enable rightsholders to opt-out of training AI for research and teaching fair uses, then academic institutions and scholars would face even greater hurdles in licensing content for research purposes. It would be operationally difficult for academic publishers and content aggregators to amass and license the "leftover" body of copyrighted works that remain eligible for AI training. Costs associated with publishers’ efforts in compiling "AI-training-eligible" content would be passed along as additional fees charged to academic libraries, who are already financially constrained to preserve TDM and other fair uses for scholars. In addition, rightsholders might opt out of allowing their work to be used for AI training fair uses, and then turn around and charge AI usage fees to scholars (or libraries)—essentially licensing back fair uses for research. These scenarios would impede scholarship by or for research teams who lack grant or institutional funds to cover these additional expenses; penalize research in or about underfunded disciplines or geographical regions; and result in bias as to the topics and regions studied.
| Artificial Intelligence and Libraries Bibliography |
Research Data Curation and Management Works | | Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |
