An Ontario Council of University Libraries (OCUL) task force has started work to explore how the consortium can pilot artificial intelligence (AI) and machine learning technology to advance the objectives and values of academic librarianship.
A result of the task force’s work will be a report to OCUL Directors in spring 2024 that will provide an informed, strategic perspective on machine learning applications and their relevance as OCUL initiatives.
In addition to the task force, OCUL will facilitate two collaborative opportunities open to individuals from across academia and research to share knowledge and learn about the evolving world of AI and the post-secondary sector.
A result of the task force’s work will be a report to OCUL Directors in spring 2024 that will provide an informed, strategic perspective on machine learning applications and their relevance as OCUL initiatives.
In addition to the task force, OCUL will facilitate two collaborative opportunities open to individuals from across academia and research to share knowledge and learn about the evolving world of AI and the post-secondary sector.
- Virtual Summit: Taking place in late February/early March, this online event aims to engage participants to review, validate, and challenge the findings of the task force’s interim report. Registration details to be announced.
- Community of Practice: An online group for experienced professionals or those starting to learn about machine learning/AI that will facilitate the sharing of best practices, use cases, and lessons learned. An open call for Community of Practice members is forthcoming.
- Mark Asberg (Queen's University)
- Talia Chung (University of Ottawa)
- Scott Gillies (Wilfrid Laurier University)
- Vivian Lewis (McMaster University)
- Mark Robertson (Toronto Metropolitan University)
- Catherine Steeves (Western University)
- Amy Greenberg (OCUL)
- Kate Davis (Scholars Portal)
- Michael Ridley (Librarian Emeritus, University of Guelph)