The AI Fundamentalists

Nov 08 2024 25 ep. 33 mins 2
The AI Fundamentalists Podcast artwork

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

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

Nov 08 2024 27 mins  
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

New paths in AI: Rethinking LLMs and model risk strategies

Oct 07 2024 39 mins  
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 th

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

Sep 03 2024 41 mins  
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 resilie

Preparing AI for the unexpected: Lessons from recent IT incidents

Aug 19 2024 34 mins  
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 robustnes

Exploring the NIST AI Risk Management Framework (RMF) with Patrick Hall

Jul 29 2024 41 mins  
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) A

Data lineage and AI: Ensuring quality and compliance with Matt Barlin

Jul 02 2024 28 mins  
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,

Differential privacy: Balancing data privacy and utility in AI

Jun 03 2024 28 mins  
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) Goo

Responsible AI: Does it help or hurt innovation? With Anthony Habayeb

May 06 2024 45 mins  
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

Baseline modeling and its critical role in AI and business performance

Apr 16 2024 36 mins  
Baseline modeling is a necessary part of model validation. In our expert opinion, it should be required before model deployment. There are many baseline modeling types and in this episode, we're discussing their use cases, strengths, and weaknesses. We're sure you'll appreciate a fresh take on how to improve your modeling practices.Show notesIntroductions and news: why reporting an

Information theory and the complexities of AI model monitoring

Mar 25 2024 21 mins  
In this episode, we explore information theory and the not-so-obvious shortcomings of its popular metrics for model monitoring; and where non-parametric statistical methods can serve as the better option. Introduction and latest news 0:03Gary Marcus has written an article questioning the hype around generative AI, suggesting it may not be as transformative as previously thought.Thi