On 12 August 2026, MIT released the outputs of its Working Group on Scholarly Content and Generative AI, co-chaired by Chris Bourg, Director of MIT Libraries.
For academic libraries, this is particularly relevant because the work brings together questions around *copyright, scholarly communication, research support, licensing and the use of scholarly content for AI training.*
The three resources are worth exploring:
*1. Recommendations for individual scholars* Practical guidance for scholars using scholarly content with GenAI.
provost.mit.edu/wp-content/uploads/2026/08/Scholarly-Content-Gen-AI-WG-at-MIT_-Recommendations.pdf
*2. Practical Guide on Scholarly Content and AI* Guidance on accessing and using scholarly content for AI training, including relevant campus contacts.
libguides.mit.edu/c.php?g=1539180&p=11538786
*3. White Paper on Scholarly Content and Generative AI* A detailed discussion of stakeholder perspectives and the legal landscape surrounding access to and use of scholarly content for GenAI training.
ogc.mit.edu/sites/default/files/documents/final-scholarly-content-ai-wg-white-paper-july2026-1.pdf
MIT’s announcement and overview:
www.infodocket.com/2026/08/12/outputs-from-mits-working-group-on-scholarly-content-and-generative-ai-now-available/
For libraries, the conversation goes beyond copyright.
A practical question is emerging: *How should researchers and institutions understand their rights and responsibilities when scholarly content is used in AI research and training?*
This is an important area for academic libraries to engage with — particularly through research support, scholarly communication, copyright guidance and institutional AI policy.
A timely set of resources for anyone working at the intersection of *libraries, research and Generative AI*.