The AI Fundamentalists

Dr. Andrew Clark & Sid Mangalik
  • 5.0 (9)
  • TECHNOLOGY
The AI Fundamentalists

A podcast about the fundamentals of safe and resilient modeling systems behind the AI that impacts our lives and our businesses. 

  1. MAR 27

    Supervised machine learning for science with Christoph Molnar and Timo Freiesleben, Part 2

    Part 2 of this series could have easily been renamed "AI for science: The expert’s guide to practical machine learning.” We continue our discussion with Christoph Molnar and Timo Freiesleben to look at how scientists can apply supervised machine learning techniques from the previous episode into their research. Introduction to supervised ML for science (0:00) Welcome back to Christoph Molnar and Timo Freiesleben, co-authors of “Supervised Machine Learning for Science: How to Stop Worryi...

    42 min

  2. MAR 25

    Supervised machine learning for science with Christoph Molnar and Timo Freiesleben, Part 1

    Machine learning is transforming scientific research across disciplines, but many scientists remain skeptical about using approaches that focus on prediction over causal understanding. That’s why we are excited to have Christoph Molnar return to the podcast with Timo Freiesleben. They are co-authors of "Supervised Machine Learning for Science: How to Stop Worrying and Love your Black Box." We will talk about the perceived problems with automation in certain sciences and find out how sci...

    27 min

  3. FEB 25

    The future of AI: Exploring modeling paradigms

    Unlock the secrets to AI's modeling paradigms. We emphasize the importance of modeling practices, how they interact, and how they should be considered in relation to each other before you act. Using the right tool for the right job is key. We hope you enjoy these examples of where the greatest AI and machine learning techniques exist in your routine today. More AI agent disruptors (0:56) Proxy from London start-up Convergence AIAnother hit to OpenAI, this product is available for free, unli...

    34 min

  4. FEB 1

    Agentic AI: Here we go again

    Agentic AI is the latest foray into big-bet promises for businesses and society at large. While promising autonomy and efficiency, AI agents raise fundamental questions about their accuracy, governance, and the potential pitfalls of over-reliance on automation. Does this story sound vaguely familiar? Hold that thought. This discussion about the over-under of certain promises is for you. Show Notes The economics of LLMs and DeepSeek R1 (00:00:03) Reviewing recent developments in AI t...

    30 min

  5. JAN 7

    Contextual integrity and differential privacy: Theory vs. application with Sebastian Benthall

    What if privacy could be as dynamic and socially aware as the communities it aims to protect? Sebastian Benthall, a senior research fellow from NYU’s Information Law Institute, shows us how privacy is complex. He uses Helen Nissenbaum’s work with contextual integrity and concepts in differential privacy to explain the complexity of privacy. Our talk explains how privacy is not just about protecting data but also about following social rules in different situations, from healthcare to edu...

    33 min

  6. 11/09/2024

    Model documentation: Beyond model cards and system cards in AI governance

    What if the secret to successful AI governance lies in understanding the evolution of model documentation? In this episode, our hosts challenge the common belief that model cards marked the start of documentation in AI. We explore model documentation practices, from their crucial beginnings in fields like finance to their adaptation in Silicon Valley. Our discussion also highlights the important role of early modelers and statisticians in advocating for a complete approach that includes the e...

    28 min

  7. 10/08/2024

    New paths in AI: Rethinking LLMs and model risk strategies

    Are businesses ready for large language models as a path to AI? In this episode, the hosts reflect on the past year of what has changed and what hasn’t changed in the world of LLMs. Join us as we debunk the latest myths and emphasize the importance of robust risk management in AI integration. The good news is that many decisions about adoption have forced businesses to discuss their future and impact in the face of emerging technology. You won't want to miss this discussion. Intro and news:...

    40 min

  8. 09/04/2024

    Complex systems: What data science can learn from astrophysics with Rachel Losacco

    Our special guest, astrophysicist Rachel Losacco, explains the intricacies of galaxies, modeling, and the computational methods that unveil their mysteries. She shares stories about how advanced computational resources enable scientists to decode galaxy interactions over millions of years with true-to-life accuracy. Sid and Andrew discuss transferable practices for building resilient modeling systems. Prologue: Why it's important to bring stats back [00:00:03]Announcement from the Ame...

    41 min
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    Ratings & Reviews

    5
    out of 5
    9 Ratings

    About

    A podcast about the fundamentals of safe and resilient modeling systems behind the AI that impacts our lives and our businesses. 

    Information

    • Creator
      Dr. Andrew Clark & Sid Mangalik
    • Years Active
      2023 - 2025
    • Episodes
      30
    • Rating
      Clean
    • Copyright
      © 2025 The AI Fundamentalists
    • Show Website
      The AI Fundamentalists

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