BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260605T111929Z UID:86a741e3-33ff-47fe-bcdd-534164e67224 DTSTART;TZID=Canada/Eastern:20260617T150500 DTEND;TZID=Canada/Eastern:20260617T163000 DESCRIPTION:

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The content provider for this event is: Compute Ontario
Registration may be requ ired for the event\, please visit the following URL to learn more : https://training.computeontario.ca/cours es/course/view.php?id=66

DESCRIPTION: This presentatio n examines the evolving intersection of AI\, copyright\, and research data management (RDM) in the Canadian context. It explores how generative AI c hallenges traditional concepts of authorship\, ownership\, and fair dealin g\, drawing on emerging legal cases\, government consultations\, and inter national developments. The session highlights risks to creators from unlic ensed data scraping and style mimicry\, and reviews emerging technical and policy responses. Finally\, the presentation positions RDM as a critical foundation for accountability\, data provenance\, metadata integrity\, and trusted research practices in an AI‑driven information ecosystem.

TEACHERS: Jeff Moon (Compute Ontario)\, Lucia Costanzo (University of Gue lph)

LEVEL: Introductory

FORMAT: Lecture

CERTIFICATE: At tendance

PREREQUISITES:

None

SUMMARY:Exploring the intersection of AI\, Copyright\, and RDM in the Canad ian Context URL;VALUE=URI:https://training.computeontario.ca/courses/course/view.php?id =66 END:VEVENT END:VCALENDAR