Universities are facing a pivotal moment as they adapt to rapid changes brought on by artificial intelligence. The Council of Ontario Universities (COU) AI Task Force recently released a report outlining what is needed to prepare students and researchers for the “age of AI,” emphasizing principles of trust, ethics, and accountability. The Ontario Council of University Libraries (OCUL) has affirmed the central role of academic libraries in advancing this vision, citing their position at the intersection of digital research infrastructure, information literacy, and knowledge stewardship.
As members of OCUL, Ontario’s university libraries operate within collaborative governance structures that support sustainable infrastructure for preserving and protecting scholarly content. According to OCUL, libraries are well positioned to advance the COU report’s recommendations in several ways:
• Testing new technologies such as chatbots and research assistants with attention to equitable access and information integrity.
• Shared infrastructure that enables efficient workflows to manage millions of print and online research materials.
• Expertise in governance issues including copyright and data privacy.
• Developing AI literacy for students, faculty, and staff, building on long-standing efforts in information literacy.
Amy Greenberg, Executive Director of OCUL, stated that the COU AI Task Force report provides a timely roadmap for Ontario’s universities. She explained that the report’s call for strengthened infrastructure, shared services, and coordinated investment aligns with OCUL’s history of innovation and collaboration. Greenberg pointed to OCUL’s AI and Machine Learning Initiative as an example, combining local experimentation with ethical awareness and human oversight, supported by the expertise of library teams.
From OCUL’s perspective, academic libraries are not peripheral to AI adoption but foundational. As Ontario universities adapt to an AI-enabled world, libraries are seen as essential partners in supporting teaching, research, and the development of AI literacy across disciplines.
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