Exploring the intersection of AI, Copyright, and RDM in the Canadian Context
Remarque : Toutes les heures sont affichées selon le fuseau horaire dans lequel l’événement a lieu.
Date: 17 juin 2026, 15:05 - 16:30
Fuseau horaire: heure d’été de l’Est nord-américain
Langue d'enseignement: Anglais
DESCRIPTION: This presentation examines the evolving intersection of AI, copyright, and research data management (RDM) in the Canadian context. It explores how generative AI challenges traditional concepts of authorship, ownership, and fair dealing, drawing on emerging legal cases, government consultations, and international developments. The session highlights risks to creators from unlicensed 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 Guelph)
LEVEL: Introductory
FORMAT: Lecture
CERTIFICATE: Attendance
PREREQUISITES:
- None
Mots-clés: TRAINING
Activity log
