education
education · EN · 5 episodes
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Contact path
Public web form
Booking probability
25%
Guest openness
Selective
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Signup to Generate a PitchRecent episodes include "Jeff Sebo on AI Welfare Research and Policy | McGill PTP Ep. 5" (24 May 2026, 54 minutes), "Indigenizing Technology | McGill PTP Ep. 4" (24 May 2026, 48 minutes), and "The Metaphysics of Slowrunning in Video Games | McGill PTP Ep. 3" (24 May 2026, 41 minutes).
McGill Philosophy, Technology & Policy Lab publishes roughly daily, with episodes averaging 46 minutes across 5 episodes.
Booking probability for McGill Philosophy, Technology & Policy Lab is 25%, and the host is rated Selective on guests. McGill Philosophy, Technology & Policy Lab requires a Pod Score of 80 or higher. McGill Philosophy, Technology & Policy Lab's contact route on record: public web form.
The strongest fits for McGill Philosophy, Technology & Policy Lab are Universities & Colleges. McGill Philosophy, Technology & Policy Lab has an education audience.
McGill Philosophy, Technology & Policy Lab is an education show with 5 episodes published.
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Episode #5
<p>Maryna Nekrasova speaks with Jeff Sebo (New York University) ahead of his lecture at the Lab.</p> <p>Sebo argues that whether AI systems could have morally significant interests is not a question only for the distant...
Episode #4
<p>Alex Carty speaks with Robbie Dillon about his essay "Indigenizing Technology."</p> <p>Indigenous communities face a double bind: adopting modern technology invites charges of inauthenticity, while rejecting it...
Episode #3
<p>Rad Ameresekere interviews Alex Carty about his essay "A Theory of Slowrunning."</p> <p>Speedrunning has drawn philosophical attention; playing to prolong a game rather than finish it has drawn almost none. Extending...
Episode #2
<p>Alex Carty speaks with Rad Ameresekere about his essay "When Technology Governs Across Borders Without Law."</p> <p>Digital technologies are typically regarded as products we can opt into or out of. Ameresekere...
Episode #1
<p>Alex Carty speaks with John Bollinger about his essay "The Final Abstraction: Artificial Intelligence and the Crisis of Human Labor."</p> <p>Husserl's 1935 Crisis lectures diagnosed a science whose abstractions had...
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