HeyJaredAyush Prakash Podcast
Welcome to the official Ayush Prakash Podcast page. Ayush Prakash is a contemporary author and podcaster based in Montreal, Quebec.
- Indexed episodes, last 90 days
- 4
- Latest publication
- Aug 28, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 13, 2026
Latest episodes
Nick Nadeau: The AI You’re Talking To Is a Bootleg of Human Expertise (opens the original)
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Nicholas Nadeau argues that the AI most people use is a bootleg of human expertise: a confident statistical average built from scraped public data, without the judgment, consent, or unpublished knowledge that makes an expert worth consulting. Nicholas is the CTO and Co-Founder of Onix. He holds a PhD in human-robot interaction and previously served as CTO of humanoid-robotics company 1X and data company SmartOne.ai. Onix is building private AI systems grounded in the approved work and judgment o
Renée Sieber: We’re Forcing AI Into Schools Before We Know What It Does to Students (opens the original)
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Renée Sieber explains why schools and public institutions are adopting generative AI before confronting its effects on learning, judgment, privacy, and civic life. Her central warning: when AI substitutes for the struggle involved in thinking and writing, students may become dependent on systems they were never given a meaningful choice to refuse.Renée is an associate professor at McGill University whose work spans AI, natural language processing, public policy, and civic engagement. We discuss
Nidhi Hegde: AI Isn’t Democratized If You Have Access but No Agency (opens the original)
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Nidhi Hegde explains why giving the public access to chatbots does not make AI democratic when users have no control over how the systems are built, trained, or deployed. Her central argument is that agency, representation, privacy, fairness, and technical robustness must be treated as connected design and governance problems. Nidhi is an associate professor of computing science at the University of Alberta, a Fellow at the Alberta Machine Intelligence Institute, and a Canada CIFAR AI Chair. We
Fenwick McKelvey: Canada Helped Build Modern AI. Why Can’t It Control What Comes Next? (opens the original)
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Fenwick McKelvey joins the podcast to explain why Canada’s AI problem runs deeper than research funding or regulation. Canada helped sustain the ideas behind modern AI and launched an early national strategy, yet it still struggles to turn that history into independent industry, enforceable public accountability, and a clear position between the United States, China, and the European Union. Fenwick breaks down the difference between regulation, policy, and governance; how hype shapes investment
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