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Open Data and AI

Title: What if we used AI as an excuse to provide structured open data to our communities?

Description: Libraries are distributed across the country as part of the communities that we serve. Libraries hold attributable forms of local information that are not often available in commercial large language models. This presentation will suggest that libraries should consider making their information of and about their communities both more human-readable and machine-readable. Opportunities to participate in existing projects will be shared.

Outcomes:

  • Learn more about sources of community sourced structured data

  • Explore how library staff can contribute to the maintenance of community data through existing projects

  • Examples of new forms of Canadian legal data will be shared

When: Wednesday, April 8th, at 10am-11am PDT (1pm-2pm EDT) on Zoom

Registration now closed

A headshot of Mita Williams, the Law Librarian at University of Windsor. Mita is smiling, wearing glasses, and has shoulder length hair that is dark with gray. She wears a green sweater and her complexion is light.Presenter bio: Mita Williams is the Law Librarian for the Don & Gail Rodzik Law Library at the University of Windsor. She writes about librarianship and technology on her blog, Librarian of Things and shares less-library focused items of interest through her newsletter, the University of Winds, every other Saturday morning. She regularly adds Canadian legal data to Wikidata.

 

Cost: We gratefully acknowledge the financial support of the Province of British Columbia through the Ministry of Municipal Affairs, which enables us to offer these events free of charge.

Who should attend: Library workers interested in AI, learning about the pros and cons, and options like open source solutions to share with our patrons and colleagues. Staff from both public and academic libraries.