The Institutional Alignment Challenge: Grappling with AI in Collections

With the rise of publicly available generative artificial intelligence (GenAI) tools, librarians have been working to understand their impact on library-licensed e-resources while ensuring users receive accurate, timely guidance on privacy, intellectual property and other usage considerations. In response to this challenge, the University of Toronto Libraries (UTL) formed its Collections AI Response Team, to bring together expertise across collections and scholarly communications units and to strategize on how to best mitigate the risks posed by these tools to our institution, its members and the environment, while avoiding the potential stifling of innovative uses of these technologies by our community. So far, the Team’s efforts have focused on three areas: Collaboration and alignment with institution-wide working groups developing UofT’s response to GenAI ; Outreach to instructors and researchers via workshops and consultations, with a focus on licensing and IP ownership; the creation of our GenAI Tool Navigator, to gather and proliferate information about GenAI tools as they become available to users. As our institution’s approach to the ethical and practical implications of GenAI tools continue to evolve and reflect the diversity of approaches to GenAI within it, our Team has had to anticipate what the role of Collections should be in this conversation. The presentation will share our insights from this work so far, including the increased saliency of issues of privacy and openness in this work, as well as share our plans for future initiatives in this area.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-15
DOI
https://doi.org/10.5281/zenodo.15428051
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Institutional Alignment Challenge: Grappling with AI in Collections

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

The Institutional Alignment Challenge: Grappling with AI in Collections

article en

Abstract

With the rise of publicly available generative artificial intelligence (GenAI) tools, librarians have been working to understand their impact on library-licensed e-resources while ensuring users receive accurate, timely guidance on privacy, intellectual property and other usage considerations. In response to this challenge, the University of Toronto Libraries (UTL) formed its Collections AI Response Team, to bring together expertise across collections and scholarly communications units and to strategize on how to best mitigate the risks posed by these tools to our institution, its members and the environment, while avoiding the potential stifling of innovative uses of these technologies by our community. So far, the Team’s efforts have focused on three areas: Collaboration and alignment with institution-wide working groups developing UofT’s response to GenAI ; Outreach to instructors and researchers via workshops and consultations, with a focus on licensing and IP ownership; the creation of our GenAI Tool Navigator, to gather and proliferate information about GenAI tools as they become available to users. As our institution’s approach to the ethical and practical implications of GenAI tools continue to evolve and reflect the diversity of approaches to GenAI within it, our Team has had to anticipate what the role of Collections should be in this conversation. The presentation will share our insights from this work so far, including the increased saliency of issues of privacy and openness in this work, as well as share our plans for future initiatives in this area.

Zenodo (CERN European Organization for Nuclear Research)
University of Toronto (CA), Ontario Council of University Libraries (CA)
Partnerships for the goals
Openalex Percentile: Top 42%
Research Data Management Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.