ARTICLE
10 September 2025

AI And Copyright - Training AI With Copyrighted Material (Podcast)

F
Fasken

Contributor

Fasken is a leading international law firm with more than 700 lawyers and 10 offices on four continents. Clients rely on us for practical, innovative and cost-effective legal services. We solve the most complex business and litigation challenges, providing exceptional value and putting clients at the centre of all we do. For additional information, please visit the Firm’s website at fasken.com.
Copyright and AI is a three-part podcast series from Fasken's Perspectives podcast, exploring how Canadian law is grappling with the rise of generative artificial intelligence.
Canada Technology

Copyright and AI is a three-part podcast series from Fasken's Perspectives podcast, exploring how Canadian law is grappling with the rise of generative artificial intelligence.

Jay Kerr-Wilson, who leads Fasken's copyright practice, and McGill University graduate student Amy Qi dive into complex questions around authorship, ownership, consent, and the legal lifespan of AI systems.

Listen to this exclusive series as they unpack the legal and philosophical challenges shaping the future of copyright in Canada—and what it means for innovators, rights holders, and AI developers alike.

Can AI legally learn from copyrighted works? What rights do creators retain when their work trains large language models? In this first episode, Kerr-Wilson and Qi explore how Canadian copyright laws applies to the data used to train large language models, and what it means for creators, platforms, and policymakers.

The content of this article is intended to provide a general guide to the subject matter. Specialist advice should be sought about your specific circumstances.

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