Much Ado About Authorship: Research Integrity & AI Systems
Scope
What counts as authorship when AI assists—or drafts—content? We’ll dig into disclosure practices, tools and workflows for detecting machine-generated text and images, handling hallucinations and manipulated content, and editorial policies that safeguard trust while keeping reviews efficient.
Confirmed Speakers include Kari Weaver, Program Manager, Artificial Intelligence and Machine Learning, OCUL and Learning, Teaching, and Instructional Design Librarian, University of Waterloo, and Mark McBride, Senior Director, Ithaka S+R. The session moderator is Heather Sardis, Associate Director for Technology and Strategic Planning at the Massachusetts Institute of Technology (MIT) Libraries.
A special thanks to Sonali Sugrim, Columbia University, and August Engelsman, Georgia Tech, both members of the Education Committee who worked closely with us in the planning of this program.
Event Sessions
Speakers
Heather Sardis, Associate Director for Technology and Strategic Planning at the Massachusetts Institute of Technology (MIT) Libraries will serve as the moderator for this program.
Related Information and Shared Resources:
Research Report (ITHAKA S+R): US Library Survey 2025, Under Pressure by Ellen Carroll, Tracy Bergstrom, Ioana G. Hulbert - In November 2025, Ithaka S+R fielded the most recent version of the US Library Survey. Since 2010, this survey has been administered every three years to library deans and directors at four-year, not-for-profit postsecondary institutions in the US to examine how they conceptualize their work—what they prioritize, how they navigate decision-making, and how they align the library with the goals of their parent institutions...
The Artificial Intelligence Disclosure (AID) Framework: An Introduction by Kari Weaver - As artificial intelligence (AI) tools—particularly generative AI based in large language models—are becoming widely available, their use across the varied contexts of education, work, and research must be negotiated. The accelerating uptake of these tools is driving a range of conversations around transparency in the use of these tools for various purposes.
Hallucinated citations are polluting the scientific literature. What can be done? (From Nature)
By Miryam Naddaf and Elizabeth Quill - Tens of thousands of publications from 2025 might include invalid references generated by AI, a Nature analysis suggests.
The UK’s Curious Case of Copyright for AI-Generated Works: What Section 9(3) Means Today (From The Author's Alliance) - As courts and copyright offices around the world grapple with whether—and how—to protect AI-generated and AI-assisted works, the United Kingdom finds itself in an unusual position. Long before the advent of large language models and image-generating algorithms, UK law explicitly acknowledged the possibility of a copyrightable work being created without a human author.
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Educational events are online programs. NISO uses the Zoom platform for the purpose of broadcasting our live events. Zoom provides apps for a variety of computing devices (tablets, laptops, etc.) To view the broadcast, you need a device that supports the Zoom app. Attendees may also choose to listen just to audio on their phones. Sign-on credentials include the necessary dial-in numbers, if that is your preference. Once notified of their availability, recordings may be viewed from the Zoom platform.
Registrants received sign-on instructions prior to the virtual event. If you have any questions, please contact NISO headquarters for assistance via email (nisohq@niso.org).