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Thinking Out Loud
Concordia University
49 episodes
9 months ago
Big ideas, smart conversations: the Thinking Out Loud (TOL) podcast connects emerging research with topics of public interest. Recorded live and in studio, TOL episodes feature Concordia researchers in conversation with thought leaders. Unscripted, provocative: This is TOL.
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Courses
Education,
Society & Culture
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All content for Thinking Out Loud is the property of Concordia University and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Big ideas, smart conversations: the Thinking Out Loud (TOL) podcast connects emerging research with topics of public interest. Recorded live and in studio, TOL episodes feature Concordia researchers in conversation with thought leaders. Unscripted, provocative: This is TOL.
Show more...
Courses
Education,
Society & Culture
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Episode 11: Digital Futures – Part II
Thinking Out Loud
17 minutes 55 seconds
6 years ago
Episode 11: Digital Futures – Part II
In this second episode devoted to talks on our digital futures, we explore how to make technology work for us. We ask about our roles and responsibilities when we engage with it and how to leverage artificial intelligence to serve our needs, and not the other way around. Three renowned experts help us unpack these questions and also help us break down what is actually meant by AI. Featuring: Shannon Vallor (Professor of Philisophy, Santa Clara University in California); Yoshua Bengio (Montreal Institute for Learning Algorithms and Professor of Computer Science at l' Université de Montreal); Safiya Noble (Assistant Professor, Annenberg School of Communications, University of Southern California).
Thinking Out Loud
Big ideas, smart conversations: the Thinking Out Loud (TOL) podcast connects emerging research with topics of public interest. Recorded live and in studio, TOL episodes feature Concordia researchers in conversation with thought leaders. Unscripted, provocative: This is TOL.