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Artwork for Approximately Correct: An AI Podcast from Amii

Approximately Correct: An AI Podcast from Amii

Amii - Alberta Machine Intelligence Institute
Artificial Intelligence
Reinforcement Learning
Large Language Models
Machine Learning
Deep Learning
Healthcare
AI Research
Loss Of Plasticity
Continual Backpropagation
Natural Language Processing
Efficient Model Training
Continual Learning
AI In Gaming
Machine Translation
Data Efficiency
Upper Bound
Artificial General Intelligence
Disinformation
Video Game Development
Prosthetic Control

Approximately Correct: An AI Podcast from Amii brings you stories from the leading edge of artificial research. Go beyond the buzzwords to learn about the future of AI and machine learning from world-class researchers, leaders and thinkers. Hear the stories behind the science, meet the people advancing the technology and learn about AI's potential to transform our world. Whether you're an AI enthu... more

PublishesMonthlyEpisodes29Founded2 years ago
Number of ListenersCategory
Technology

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Artwork for Approximately Correct: An AI Podcast from Amii

Latest Episodes

Should powerful foundational AI models be kept under lock and key, or shared openly with the world?

In this episode of Approximately Correct, we sit down with Joelle Pineau, a professor at McGill University, former head of AI research at Meta and c... more

YouTube

On this episode of Approximately Correct, we talk with Michael Littman about the importance of making AI accessible and fun for everyone.

A former division director for the AI division at the National Science Foundation, Michael shares his unique p... more

YouTube

This AI doesn't replace jobs; it collaborates with human experts to get the job done.

On this episode of Approximately Correct, we talk with Revan McQueen on the future of industrial control and AI's role in making it safer and better

YouTube

Is it possible to make building a video game as easy as writing a story? What if artificial intelligence could be more than just a tool, and instead become a true creative partner?

In this episode of Approximately Correct, we dive into computational... more

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Recent Guests

Michael Littman
Expert in reinforcement learning and Associate Provost of Artificial Intelligence at Brown University.
Brown University
Episode: Why AI isn’t as scary as you think with Michael Littman | Approximately Correct
Matthew Guzdial
An Amii Fellow and Canada C4 AI Chair at the University of Alberta specializing in computational creativity.
University of Alberta
Episode: Can AI Be Creative? With Matthew Guzdial
Mo Chen
Associate Professor at Simon Fraser University, CIFAR AI Chair
Simon Fraser University, Amii
Episode: Approximately Correct Live: How Do We Stop Robots From Running Us Over?
David Radke
Senior Data Scientist with the Chicago Blackhawks, focused on multi-agent systems and sports analytics.
Chicago Blackhawks
Episode: Hockey, AI, & the future of sports analysis with David Radke
Jacob Jaremko
Pediatric radiologist, Professor at the University of Alberta, Canada CIFAR AI Chair
University of Alberta
Episode: The Power of AI in Medical Imaging with Jacob L Jaremko
Rich Sutton
A.M. Turing Award Winner, Fellow of Amii, and a significant contributor to reinforcement learning.
Amii
Episode: How A.M. Turing Award Winner Rich Sutton Changed AI | Approximately Correct Podcast
Cam Linke
CEO of Amii and former student of Rich Sutton.
Amii
Episode: How A.M. Turing Award Winner Rich Sutton Changed AI | Approximately Correct Podcast
Mike Bowling
Fellow at Amii and Canada CIFAR AI Chair.
Amii
Episode: How A.M. Turing Award Winner Rich Sutton Changed AI | Approximately Correct Podcast
Alex Kearney
Co-founder of Artificial Agency and former student of Rich Sutton.
Artificial Agency
Episode: How A.M. Turing Award Winner Rich Sutton Changed AI | Approximately Correct Podcast

Hosts

Alana Fish
Host and co-host of various episodes, guiding discussions on AI, technology, and interviews with prominent figures in the field.
Scott Lowell
Host and co-host that engages in discussions about AI advancements and interviews with leading researchers.

Reviews

4.5 out of 5 stars from 17 ratings
  • Great podcast!

    An excellent podcast to learn AI from the greatest minds!

    Apple Podcasts
    5
    rohansaha60
    Canada2 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Listeners appreciate the engaging conversations with AI experts and the insightful exploration of complex topics.
The podcast is praised for making advanced AI concepts accessible to a broader audience, making it a valuable educational resource.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#87
Canada/Technology

Talking Points

Recent interactions between the hosts and their guests.

How do we ensure AI makes safe choices? with Revan MacQueen | Approximately Correct Podcast
Q: How does RL Core ensure safety and trust in the systems you develop?
We prioritize dialogue with operators to understand their constraints and desired actions, which we then integrate into the RL system.
How do we ensure AI makes safe choices? with Revan MacQueen | Approximately Correct Podcast
Q: What specific safety concerns are associated with reinforcement learning in water treatment?
Safety in this context involves ensuring safe water quality, minimizing wear on equipment, and adhering to operational constraints as defined by operators.
How do we ensure AI makes safe choices? with Revan MacQueen | Approximately Correct Podcast
Q: Can you tell us about your work using reinforcement learning for industrial applications?
I work at RL Core, where we focus on applying reinforcement learning to improve control systems, particularly in water treatment plants, to ensure safe and efficient operations.
Can AI Be Creative? With Matthew Guzdial
Q: Where do you see the field going in the next five to ten years?
There's a trend towards smaller teams making creative works, and I think there are opportunities for tools to support those people.
Can AI Be Creative? With Matthew Guzdial
Q: So how do the things you make differ from what people would traditionally use to make video games?
We focus on mixed initiative, where the AI acts as a partner rather than just a tool.

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This podcast explores the transformative world of artificial intelligence, highlighting in-depth discussions with prominent researchers and industry leaders. Through expert interviews and captivating storytelling, it aims to illuminate the future of AI and machine learning, covering both the underlying science and ethical implications. Topics often range from reinforcement learning innovations to the efficacy of AI in healthcare and prosthetic technology, showcasing personal anecdotes from experts that enrich the conversation. The unique combination of technical insight and personal experiences makes the content accessible for a wide audience, including both tech enthusiasts and those new to the field.

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These podcasts share a similar audience with this podcast:

1. Dwarkesh Podcast
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3. AI + a16z
4. The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
5. Google DeepMind: The Podcast

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this podcast launched 2 years ago and published 29 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on this podcast?

Recent guests on this podcast include:

1. Michael Littman
2. Matthew Guzdial
3. Mo Chen
4. David Radke
5. Jacob Jaremko
6. Rich Sutton
7. Cam Linke
8. Mike Bowling

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