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Library Collections and Academic Publications as Artificial Intelligence Training Data

Home / Topics / Artificial Intelligence / Library Collections and Academic Publications as Artificial Intelligence Training Data

November 18, 2024

Dan Cohen
Vice Provost for Information Collaboration, Dean of the Libraries, and Professor of History
Northeastern University

Mike Furlough
Executive Director
HathiTrust

David Hansen
Executive Director
Authors Alliance

Claire Stewart
Professor and Juanita J. and Robert E. Simpson Dean of Libraries and University Librarian
University of Illinois Urbana-Champaign

Günter Waibel
Associate Vice Provost & Executive Director, California Digital Library
University of California Office of the President

Suzanne Wones
University Librarian
University of California, Berkeley

What principles should guide libraries as they consider allowing or limiting access to their collections for artificial intelligence (AI) training? US research libraries collectively hold one of the world’s most comprehensive, sophisticated, and structured reflections of human thinking. In addition, research libraries steward the research output of the university, and support and advise their authors on their publishing choices. This published literature and these library collections are incredibly valuable for the development and deployment of AI. The opportunity to advance research and learning through AI is great but comes with significant risks. This panel will discuss balancing legal, technical, logistical, and mission-oriented challenges and opportunities and will explore what principles should guide decision-making for AI use of the universities’ scholarly content.

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Filed Under: Artificial Intelligence, CNI Fall 2024 Project Briefings, Digital Humanities, Digital Libraries, Information Access & Retrieval, Intellectual Property, Project Briefing Pages
Tagged With: cni2024fall, Project Briefings & Plenary Sessions

Last updated:  Friday, January 10th, 2025

 

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