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PODCAST

The AI Fundamentalists

Dr. Andrew Clark & Sid Mangalik

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

technology tech news

All Episodes

39:51

New paths in AI: Rethinking LLMs and model risk...

The AI Fundamentalists ·

2024/10/08

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: Th...

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41:02

Complex systems: What data science can learn from...

The AI Fundamentalists ·

2024/09/04

Our special guest, astrophysicist Rachel Losacca, 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 Americ...

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34:13

Preparing AI for the unexpected: Lessons from recent...

The AI Fundamentalists ·

2024/08/20

Can your AI models survive a big disaster? While a recent major IT incident with CrowdStrike wasn't AI related, the magnitude and reaction reminded us that no system no matter how proven is immune to failure. AI modeling systems are no different. Neglecting the best practices of building models can lead to unrecoverable failures. Discover how the three-tiered framework of robustness, resiliency, and anti-fragility can guide your approach to creating AI infrastructures that not only perform re...

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41:24

Exploring the NIST AI Risk Management Framework (RMF)...

The AI Fundamentalists ·

2024/07/30

Join us as we chat with Patrick Hall, Principal Scientist at Hallresearch.ai and Assistant Professor at George Washington University. He shares his insights on the current state of AI, its limitations, and the potential risks associated with it. The conversation also touched on the importance of responsible AI, the role of the National Institute of Standards and Technology (NIST) AI Risk Management Framework (RMF) in adoption, and the implications of using generative AI in decision-making.Sho...

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28:29

Data lineage and AI: Ensuring quality and compliance...

The AI Fundamentalists ·

2024/07/03

Ready to uncover the secrets of modern systems engineering and the future of AI? Join us for an enlightening conversation with Matt Barlin, the Chief Science Officer of Valence. Matt's extensive background in systems engineering and data lineage sets the stage for a fascinating discussion. He sheds light on the historical evolution of the field, the critical role of documentation, and the early detection of defects in complex systems. This episode promises to expand your understanding of mode...

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28:17

Differential privacy: Balancing data privacy and...

The AI Fundamentalists ·

2024/06/04

Explore the basics of differential privacy and its critical role in protecting individual anonymity. The hosts explain the latest guidelines and best practices in applying differential privacy to data for models such as AI. Learn how this method also makes sure that personal data remains confidential, even when datasets are analyzed or hacked.Show NotesIntro and AI news (00:00) Google AI search tells users to glue pizza and eat rocks Gary Marcus on break? (Maybe and X only break)Wha...

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45:59

Responsible AI: Does it help or hurt innovation? With...

The AI Fundamentalists ·

2024/05/07

Artificial Intelligence (AI) stands at a unique intersection of technology, ethics, and regulation. The complexities of responsible AI are brought into sharp focus in this episode featuring Anthony Habayeb, CEO and co-founder of Monitaur, As responsible AI is scrutinized for its role in profitability and innovation, Anthony and our hosts discuss the imperatives of safe and unbiased modeling systems, the role of regulations, and the importance of ethics in shaping AI.Show notesPrologue: ...

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36:23

Baseline modeling and its critical role in AI and...

The AI Fundamentalists ·

2024/04/17

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21:56

Information theory and the complexities of AI model...

The AI Fundamentalists ·

2024/03/26

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35:48

The importance of anomaly detection in AI

The AI Fundamentalists ·

2024/03/06

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32:55

What is consciousness, and does AI have it?

The AI Fundamentalists ·

2024/02/13

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41:23

Upskilling for AI: Roles, organizations, and new...

The AI Fundamentalists ·

2024/01/25

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32:49

Non-parametric statistics

The AI Fundamentalists ·

2024/01/10

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31:27

AI regulation, data privacy, and ethics - 2023...

The AI Fundamentalists ·

2023/12/19

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43:41

Managing bias in the actuarial sciences with Joshua...

The AI Fundamentalists ·

2023/12/07

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43:56

Model Validation: Performance

The AI Fundamentalists ·

2023/11/04

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36:23

Model validation: Robustness and resilience

The AI Fundamentalists ·

2023/10/11

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23:48

Digital twins in AI systems

The AI Fundamentalists ·

2023/09/20

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28:12

Fundamentals of systems engineering

The AI Fundamentalists ·

2023/08/23

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31:46

Synthetic Data in AI

The AI Fundamentalists ·

2023/08/08

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44 results

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