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Artwork for The AI Fundamentalists

The AI Fundamentalists

Dr. Andrew Clark & Sid Mangalik
Artificial Intelligence
Machine Learning
Bias
Non-Parametric Statistics
Data Lineage
Data Science
Information Theory
Differential Privacy
Insurance Pricing
Actuarial Sciences
Protected Classes
Consciousness
Complex Systems
Openai
Gary Marcus
Anomaly Detection
AI and Data Science
Astrophysics
GDPR
Generative AI

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

PublishesTwice monthlyEpisodes39Founded2 years ago
Number of ListenersCategories
BusinessTechnology

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Artwork for The AI Fundamentalists

Latest Episodes

This episode is the intro to a special project by The AI Fundamentalists’ hosts and friends. We hope you're ready for a metaphysics mini‑series to explore what thinking and reasoning really mean and how those definitions should shape AI research. 

J... more

In this episode, we talk about practical guardrails for LLMs with data scientist Nicholas Brathwaite. We focus on how to stop PII leaks, retrieve data, and evaluate safety with real limits. We weigh managed solutions like AWS Bedrock against open-sou... more

We’re excited to have Adi Ganesan, a PhD researcher at Stony Brook University, the University of Pennsylvania, and Vanderbilt, on the show. We’ll talk about how large language models LLMs) are being tested and used in psychology, citing examples from... more

The release of OpenAI GPT-5 marks a significant turning point in AI development, but maybe not the one most enthusiasts had envisioned. The latest version seems to reveal the natural ceiling of current language model capabilities with incremental rat... more

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Recent Guests

Nicholas Brathwaite
Data scientist currently working at a Fortune 500 insurance company in New York.
Fortune 500 insurance company
Episode: AI in practice: Guardrails and security for LLMs
Adi Ganesan
Ph.D. researcher at Stony Brook University, the University of Pennsylvania, and Vanderbilt, focusing on mental health and language models.
Stony Brook University
Episode: AI in practice: LLMs, psychology research, and mental health
Dr. Michael Zargum
Founder and chief engineer at BlockScience, a systems engineering firm focused on digital public infrastructure.
BlockScience
Episode: Principles, agents, and the chain of accountability in AI systems
Christoph Molnar
Co-author of Supervised Machine Learning for Science
Episode: Supervised machine learning for science with Christoph Molnar and Timo Freiesleben, Part 2
Timo Freiesleben
Co-author of Supervised Machine Learning for Science
Episode: Supervised machine learning for science with Christoph Molnar and Timo Freiesleben, Part 2
Sebastian Benthall
Senior Research Fellow at the Information Law Institute from NYU School of Law and a research scientist at the International Computer Science Institute
Information Law Institute, NYU School of Law
Episode: Contextual integrity and differential privacy: Theory vs. application with Sebastian Benthall
Rachel Losacco
Astrophysicist with experience in galaxy formation simulations and currently a senior data scientist focused on modeling road safety.
Leiden University and University of Florida
Episode: Complex systems: What data science can learn from astrophysics with Rachel Losacco
Patrick Hall
Principal Scientist at hallresearch.ai; Assistant Professor of Decision Sciences at George Washington University
Hall Research; George Washington University
Episode: Exploring the NIST AI Risk Management Framework (RMF) with Patrick Hall
Matt Barlin
Chief Science Officer of Valence
Valence
Episode: Data lineage and AI: Ensuring quality and compliance with Matt Barlin

Hosts

Andrew Clark
Host of The AI Fundamentalists, Andrew Clark discusses AI governance, ethical implications, and technical advancements in deep learning.
Sid Mongolek
Co-host of The AI Fundamentalists, Sid Mongolek contributes to discussions on AI modeling and implementation strategies.

Reviews

5.0 out of 5 stars from 23 ratings
  • Great podcast for AI and ML

    I work in tech but not AI or ML specifically and have found this podcast to be very informative yet accessible to someone outside the AI/ML space. The hosts are clearly knowledgeable about this technology and are pioneers in the space of ethics and risk management as applied to AI. Topics covered include specifics and foundations of the technology, potential risks, governance, compliance, regulation and news. Get the juices of innovation flowing by following this podcast.

    Apple Podcasts
    5
    orchestra groupee
    United States2 years ago

Listeners Say

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

The hosts are recognized for their knowledge and pioneering efforts in addressing ethics and risk management in AI.
Feedback highlights the importance of discussions on governance, regulation, and the technologies' implications.
Listeners appreciate the informative and accessible nature of the content, even those outside the AI field.

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Talking Points

Recent interactions between the hosts and their guests.

AI in practice: Guardrails and security for LLMs
Q: Can you tell me a little more about like, what are the problems that we're hoping to solve with these guardrails?
Nicholas explains that the main issues include protecting against leakage of sensitive information like PII, passwords, and proprietary company information.
AI in practice: Guardrails and security for LLMs
Q: Tell us a little bit about at a high level, the kind of work you do and what kind of problems you're solving in the field.
Nicholas describes his focus on guardrails, AI security, and safety within the governance and risk team, detailing his work on security protocols for AI systems.
Linear programming: Building smarter AI agents from the fundamentals, part 3
Q: How do recommendation engines fit into this model?
They are different from optimization problems as they can provide answers in an unsupervised manner without guaranteeing outcomes.
Linear programming: Building smarter AI agents from the fundamentals, part 3
Q: What have we got for today?
We are on to discussing linear solvers in AI agent configuration.
Principles, agents, and the chain of accountability in AI systems
Q: What are your thoughts on LLMs acting as agents?
LLMs are high-dimensional word calculators and not inherently agentic, but they can be part of a higher level workflow where they assist in tasks but lack true autonomy.

Audience Metrics

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Frequently Asked Questions About The AI Fundamentalists

What is The AI Fundamentalists about and what kind of topics does it cover?

This podcast focuses on the essential principles of safe and resilient modeling systems related to artificial intelligence, with a particular emphasis on real-world applications and implications. It frequently covers topics such as AI governance, the ethical use of large language models, and the integration of machine learning in scientific endeavors. The discussions aim to demystify AI for a broad audience, providing insights into important concepts like accountability, data privacy, and the challenges faced in the development and implementation of AI technologies. Regular guests include researchers, engineers, and thought leaders in the field, enhancing the depth and credibility of the conversations.

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1. Planet Money
2. Leveraging AI

How many episodes of The AI Fundamentalists are there?

The AI Fundamentalists launched 2 years ago and published 39 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 The AI Fundamentalists?

Recent guests on The AI Fundamentalists include:

1. Nicholas Brathwaite
2. Adi Ganesan
3. Dr. Michael Zargum
4. Christoph Molnar
5. Timo Freiesleben
6. Sebastian Benthall
7. Rachel Losacco
8. Patrick Hall

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