The Ayush Prakash Podcast is the public channel of the Center for Innovating the Future, a strategy innovation lab based in Toronto. Across 150+ episodes since 2021, I've sat down with neuroscientists, philosophers, astrophysicists, psychologists and builders to work out what these technologies are actually doing to us, and which claims are being made without evidence.
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AI could expand access to mental-health support, but a convincing conversation doesn’t establish that a chatbot is safe. Tristan Glatard explains why mental-health AI needs evidence, evaluation and human supervision, and how its potential extends from conversational tools to predicting treatment responses and identifying crises.
Tristan is Scientific Director of the Krembil Centre for Neuroinformatics at the Centre for Addiction and Mental Health (CAMH) in Toronto. His background is in computer science. In this conversation, he examines where AI could help patients, where general-purpose chatbots need limits, and why privacy, patient perspectives and clinical oversight matter.
In this conversation:
What mental health means across the lifespan
How AI could help match patients with treatments
Why mental-health AI includes wearables and predictive tools
The difference between healthcare chatbots, wellbeing apps and general-purpose AI
The case for support when a human therapist isn’t available
Whether people disclose more to chatbots, and what remains uncertain
Why wellbeing tools need evaluation
How hospital researchers balance opportunity, safety and health equity
Why crisis detection and data privacy matter
How patients should shape the use of AI in their care
Who evaluates and supervises AI support conversations
A surprising finding from Tristan’s ongoing image-analysis research
What discovery, collaboration and good work mean to him
Chapters:
00:00 AI and Mental Health at CAMH
01:29 What Do We Mean by Mental Health?
03:41 How Technology Can Help Personalize Treatment
05:48 AI Beyond Chatbots: Wearables and Prediction
08:58 The Case for an AI Companion
13:15 Do People Open Up More to Chatbots?
15:03 Where AI Mental-Health Support Breaks Down
16:56 Balancing Opportunity, Safety and Health Equity
20:00 Crisis Detection and Data Privacy
22:12 The AI Healthcare Conversation We Need
26:28 Who Supervises AI Support?
30:19 A Surprising Research Discovery
33:03 What Keeps a Researcher Going
35:40 What Gives Tristan Hope
37:30 Where to Follow Tristan’s Work
Connect with Tristan:
Website: https://www.camh.ca/en/science-and-research/science-and-research-staff-directory/tristanglatard
LinkedIn: https://www.linkedin.com/in/tristanglatard/
Podcast:
Spotify: https://open.spotify.com/show/1ILhje5HSua1FEOlTyFAhG
Apple Podcasts: https://apple.co/3qXL37W
Connect:
Website: https://ayushprakash.com
LinkedIn: https://www.linkedin.com/in/prakash-ayush/
Instagram: https://instagram.com/ayushprakashofficial
Book:
https://www.amazon.com/dp/0981182135
1 Oct 2026
Anna Jahn: Why Canada Can’t Build AI Sovereignty Alone
A Canadian frontier model alone won’t give Canada control over its AI future. Anna Jahn explains why AI sovereignty also depends on data, energy, compute, talent, and governance, and why countries may need to combine their strengths to reduce dependence on the biggest AI powers.
Anna is Executive Director of the Centre for Media, Technology and Democracy at McGill University. She previously led public policy and inclusion work at Mila. In this conversation, she examines who holds power over AI now, why Canadian research strength hasn’t produced the same economic strength, and what a credible Canadian approach could look like.
In this conversation:
Why researchers, the public, government, and industry talk past one another
Whether democratic policymaking needs to match the pace of AI
Why voluntary company safeguards aren’t enough
The tension between promoting AI adoption and protecting the public
Why a domestic frontier model is only one part of AI sovereignty
How Canada could work with other middle powers
Why Canadian AI talent often builds companies elsewhere
What Anna wants to hear from Mark Carney about AI
Montreal’s opportunity to offer a different vision for AI
What it would take for Canadians to trust and benefit from the technology
Chapters:
00:00 Who Gets a Say in AI Policy?
02:19 Can Governments Keep Up With AI?
05:17 Who Is Responsible for AI Safety?
08:03 AI Adoption vs. Public Protection
11:15 Why One Model Won’t Deliver AI Sovereignty
14:07 Why Canada Struggles to Commercialize AI Research
16:49 What a Middle-Power AI Alliance Could Look Like
21:55 What Canada Needs to Do First
24:44 Is Montreal Still a Leading AI Hub?
27:38 Should Montreal Try to Become Another Silicon Valley?
29:34 What AI Success Would Look Like for Canadians
32:28 What Gives Anna Hope
33:32 Where to Find Anna’s Work
Connect with Anna:
Website: https://mediatechdemocracy.com/en/team/anna-jahn/
LinkedIn: https://www.linkedin.com/in/anna-jahn-8a318241/
Podcast:
Spotify: https://open.spotify.com/show/1ILhje5HSua1FEOlTyFAhG
Apple Podcasts: https://apple.co/3qXL37W
Connect:
Website: https://ayushprakash.com
LinkedIn: https://www.linkedin.com/in/prakash-ayush/
Instagram: https://instagram.com/ayushprakashofficial
Book:
https://www.amazon.com/dp/0981182135
28 Aug 2026
Nick Nadeau: The AI You’re Talking To Is a Bootleg of Human Expertise
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 of individual experts.
In this conversation:
■ Whose answer you receive when you ask AI a question
■ Why frontier models blend textbooks, social media, and internet noise
■ What gets lost when AI attempts to imitate a human expert
■ Why an expert's most important knowledge may never have been published
■ How privacy and on-device AI can improve personal usefulness
■ Whether expert AI will replace professionals or increase their capacity
■ What young founders should understand about risk, stamina, and relationships
■ Why smart investors must contribute more than capital
■ How personal AI could eventually connect with robotics
■ The question Nicholas asks himself every day: should Onix exist?
CHAPTERS
00:00 Whose Answer Is AI Giving You?
04:02 Transactional AI vs. Wicked Problems
06:03 What AI Misses About Expert Judgment
11:51 Dark Data and the Knowledge Experts Never Publish
17:28 How Onix Began
22:42 Advice for Young Founders
28:45 Smart Money and Choosing Investors
32:45 Onix Beyond Health: Robots and Human Expertise
36:59 Will Expert AI Replace Humans?
41:20 Would Nicholas Let His Children Use AI?
46:45 The Question That Keeps Him Up at Night
48:49 What Gives Him Hope
50:45 Where to Find Nicholas and Onix
CONNECT WITH NICHOLAS
Website: https://nicholasnadeau.com
Onix: https://onix.life
LISTEN TO THE PODCAST
Spotify: https://open.spotify.com/show/1ILhje5HSua1FEOlTyFAhG
Apple Podcasts: https://apple.co/3qXL37W
CONNECT WITH AYUSH
Website: https://ayushprakash.com
LinkedIn: https://www.linkedin.com/in/prakash-ayush/
Instagram: https://instagram.com/ayushprakashofficial
AI FOR GEN Z
https://www.amazon.com/dp/0981182135
Who has been a guest on Gen Z Diplomat Podcast
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Amy Love
G Scott Graham
Dr Ran Anbar
Joshua Shea
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