Best Causal Machine Learning Podcasts (2025)

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938: Frontier AI Agents for Data Science, with Sphinx’s Rohan Kodialam 19:14

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2h ago19:14

19:14

Jon Krohn speaks to Rohan Kodialam, Cofounder and CEO of Sphinx, the company that redefines how machine intelligence reasons data with frontier AI. In this Feature Friday, Jon and Rohan discuss the benefits of using Sphinx to assist with data analysis. Get under the hood to learn how Sphinx operates, from running commands to ensuring your data stay…

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Shilling Attacks on Recommender Systems 34:48

23h ago34:48

34:48

In this episode of Data Skeptic's Recommender Systems series, Kyle sits down with Aditya Chichani, a senior machine learning engineer at Walmart, to explore the darker side of recommendation algorithms. The conversation centers on shilling attacks—a form of manipulation where malicious actors create multiple fake profiles to game recommender system…

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937: How to Design AI-First Products, with Marc Dupuis 59:32

3d ago59:32

59:32

AI tools won’t eliminate but elevate data scientists, says Marc Dupuis. The CEO of fabi.ai talks to Jon Krohn about the new wave of AI-driven platforms that integrate workflows within popular work tools like Slack and email, and how building AI-first products means widening access to all ability levels. This episode is brought to you by the Gurobi⁠…

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936: LLMs Are Delighted to Help Phishing Scams 5:07

7d ago5:07

5:07

How much power – and risk – do we carry around with us in our pockets? A Reuters investigation about how easily LLMs can be utilized for online phishing scams is the subject of this week’s Five-Minute Friday with Jon Krohn. By asking six of the most popular LLMs (Grok, ChatGPT, Meta AI, Claude, DeepSeek and Gemini) to generate phishing emails speci…

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The Causal Gap: Truly Responsible AI Needs to Understand the Consequences | Zhijing Jin S2E7 1:03:17

7d ago1:03:17

1:03:17

Send us a text The Causal Gap: Truly Responsible AI Needs to Understand the Consequences Why do LLMs systematically drive themselves to extinction, and what does it have to do with evolution, moral reasoning, and causality? In this brand-new episode of Causal Bandits, we meet Zhijing Jin (Max Planck Institute for Intelligent Systems, University of …

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Music Playlist Recommendations 52:29

8d ago52:29

52:29

In this episode, Rebecca Salganik, a PhD student at the University of Rochester with a background in vocal performance and composition, discusses her research on fairness in music recommendation systems. She explores three key types of fairness—group, individual, and counterfactual—and examines how algorithms create challenges like popularity bias …

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935: Global Issues Accelerated by AI (with Solutions), feat. Stephanie Hare 1:17:27

10d ago1:17:27

1:17:27

Jon Krohn speaks to researcher, broadcaster and author Stephanie Hare about how the Hippocratic Oath might apply to artificial intelligence, and a guiding ethos for pushing innovation while protecting users from harm. A code of conduct, she says, could be one approach to ensuring that people are using technology more mindfully and ethically, as wel…

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934: Is AI Replacing Junior Workers? 6:55

14d ago6:55

6:55

With the number of jobs dramatically slowing in the last year, many question if this decline is down to companies turning to AI for completing entry-level tasks in particular. Research published earlier this month by Yale University shows no major difference in the types of roles and tasks in so-called `white-collar jobs` since late 2022, an auspic…

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933: Future-Proofing Your Career in the AI Era, feat. Sheamus McGovern 1:15:10

17d ago1:15:10

1:15:10

Sheamus McGovern, CEO of Open Data Science, takes Jon Krohn and his listeners on a journey to launching his popular data science and AI conference, now in its tenth year, as well as the great shifts to the fields that he has seen on the way. For Seamus, the growth of his Open Data Science Conference has shown him that an AI engineer is just the beg…

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932: Should You Build or Buy Your AI Solution? With Larissa Schneider 29:10

21d ago29:10

29:10

Larissa Schneider speaks to Jon Krohn in this Feature Friday about finding the right time to invest in AI solutions, and when it’s better to build them yourself. She discusses her work leading global strategy and operations at Unframe, and how they raised $50 million in venture capital since the company’s launch in March 2025. Additional materials:…

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Bypassing the Popularity Bias 34:33

22d ago34:33

34:33

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931: Boost Your Profits with Mathematical Optimization, feat. Jerry Yurchisin 1:13:12

24d ago1:13:12

1:13:12

AI predictions, and how to act on them: Data Science Strategist at Gurobi, Jerry Yurchisin, speaks to Jon Krohn about how mathematical optimization helps enterprises automate decisions for business success and where to find the resources to make it happen. This episode is brought to you by the ⁠ODSC, the Open Data Science Conference, by Fabi, by ⁠D…

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930: In Case You Missed It in September 2025 37:25

28d ago37:25

37:25

Jon Krohn’s highlights from this month of interviews focus on ways to future-proof your career, looking at the hardware that will get you the most mileage, the emerging roles that are well worth a look, and the developments in AI that will endure in a field constantly testing the durability of its own breakthroughs. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠…

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Sustainable Recommender Systems for Tourism 38:02

28d ago38:02

38:02

In this episode, we speak with Ashmi Banerjee, a doctoral candidate at the Technical University of Munich, about her pioneering research on AI-powered recommender systems in tourism. Ashmi illuminates how these systems can address exposure bias while promoting more sustainable tourism practices through innovative approaches to data acquisition and …

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929: Dragon Hatchling: The Missing Link Between Transformers and the Brain, with Adrian Kosowski 1:14:28

1M ago1:14:28

1:14:28

By Jon Krohn

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928: The “Lethal Trifecta”: Can AI Agents Ever Be Safe? 5:55

1M ago5:55

5:55

Prompt injections, malicious code, and AI agents: In this week’s Five-Minute Friday, Jon Krohn looks into the current security weaknesses found in AI systems. A structural vulnerability that The Economist dubs a “lethal trifecta” could cause havoc for AI users, unless we take the necessary steps to contain our systems. Additional materials: ⁠⁠⁠⁠⁠⁠⁠…

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927: Automating Code Review with AI, feat. CodeRabbit’s David Loker 1:19:18

1M ago1:19:18

1:19:18

By Jon Krohn

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926: AI is Disrupting the Legal Industry: Are Paralegals Doomed? 4:47

1M ago4:47

4:47

In this Five-Minute Friday, Jon Krohn explores how AI is reshaping the legal industry. He investigates how AI tools are helping lawyers make conclusions faster, how paralegals are being retrained, and the latest in-demand role in law (hint: It concerns AI). Listen to hear how Harvey AI and Thomson Reuters’ CoCounsel are using AI to help lawyers get…

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925: AI, Automation and the Future of Work, with Oxford’s Prof. Carl Benedikt Frey 1:10:06

2M ago1:10:06

1:10:06

Tech innovation’s dependence on economic systems, trust in technology throughout history, and job displacement through AI: The Dieter Schwartz Associate Professor of AI and work at the University of Oxford, Carl Benedikt Frey, talks to Jon Krohn about his latest book, How Progress Ends, as well as how different economic systems deal with innovation…

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Interpretable Real Estate Recommendations 32:57

1M ago32:57

32:57

In this episode of Data Skeptic's Recommender Systems series, host Kyle Polich interviews Dr. Kunal Mukherjee, a postdoctoral research associate at Virginia Tech, about the paper "Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations" The discussion explores how the post-COVID real estate landscape has created a need for bette…

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Create Your Causal Inference Roadmap. Causal Inference, TMLE & Sensitivity | Mark van der Laan S2E6 | CausalBanditsPodcast.com 1:29:40

2M ago1:29:40

1:29:40

Send us a text Create Your Causal Inference Roadmap. Causal Inference, TMLE & Sensitivity If you're into causal inference and machine learning you probably heard about double machine learning (DML). DML is one of the most popular frameworks leveraging machine learning algorithms for causal inference, while offering good statistical properties. Yet.…

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924: 95% of Enterprise AI Projects Fail (Per MIT Research) 5:27

2M ago5:27

5:27

MIT lab NANDA (“Networked AI Agents in Decentralized Architecture”) reveals less than promising results for the future of AI adoption in businesses. According to “The GenAI Divide: State of AI in Business 2025”, a whopping 95% of enterprise AI projects “are getting zero return” on their $30-40 billion investment. Jon Krohn takes this Five-Minute Fr…

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923: Graph Algorithms, GraphRAG and Causal Graphs, with Graph Guru Amy Hodler 1:03:47

2M ago1:03:47

1:03:47

Graphs, but not as you would expect them: Graph analytics guru Amy Hodler speaks to Jon Krohn about the graph data structure and graph applications, graph algorithms, graph RAG, and graphs as memory systems for AI agents. We can use graphs in a surprising number of ways. Money laundering and fraud, as well as supply-chain crime, leave breadcrumbs a…

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922: AI for Manufacturing and Industry, with Hugo Dozois-Caouette 28:29

2M ago28:29

28:29

Hugo Dozois-Caouette speaks to Jon Krohn about his startup MaintainX and how he secured $254 million in venture capital, reaching a $2.5 billion valuation. MaintainX builds computerized maintenance management systems (CMMS) and enterprise asset management (EAM) software for industrial and manufacturing companies. This "digital clipboard" delivered …

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921: NPUs vs GPUs vs CPUs for Local AI Workloads, with Dell’s Ish Shah and Shirish Gupta 1:12:12

2M ago1:12:12

1:12:12

Using Windows for AI development and the bleeding edge of NPUs: Shirish Gupta and Ish Shah from Dell Technologies speak to Jon Krohn about the latest products from Dell, the future of neural-processing units (NPUs), and how AI developers can make sound hardware investments. This episode is brought to you by the Trainium2, the latest AI chip from AW…

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Why Am I Seeing This? 49:36

2M ago49:36

49:36

In this episode of Data Skeptic, we explore the challenges of studying social media recommender systems when exposure data isn't accessible. Our guests Sabrina Guidotti, Gregor Donabauer, and Dimitri Ognibene introduce their innovative "recommender neutral user model" for inferring the influence of opaque algorithms.…

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920: In Case You Missed It in August 2025 21:57

2M ago21:57

21:57

This month’s episode of In Case You Missed It gives us reasons to be cautiously optimistic about the future of large language models (LLMs), with guests discussing what to do about recent reports that found AI agents blackmailed human users when threatened, the importance of post-training LLMs, and the training we have available for data and AI eng…

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919: Hopes and Fears of AGI, with All-Time Bestselling ML Author Aurélien Géron 1:29:51

2M ago1:29:51

1:29:51

PyTorch, AGI, and the future of alignment research: Aurélien Géron joins Jon Krohn in this live interview to talk about the fourth edition of his bestselling Hands-On Machine Learning as well as what superintelligence makes him hopeful for, as well as what concerns him about machines surpassing human intelligence. This episode is brought to you by …

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Eco-aware GNN Recommenders 44:42

2M ago44:42

44:42

In this episode of Data Skeptic, we dive into eco-friendly AI with Antonio Purificato, a PhD student from Sapienza University of Rome. Antonio discusses his research on "EcoAware Graph Neural Networks for Sustainable Recommendations" and explores how we can measure and reduce the environmental impact of recommender systems without sacrificing perfo…

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918: Multi-Agent Systems with CrewAI 9:16

2M ago9:16

9:16

In this Five-Minute Friday, Jon Krohn introduces listeners to CrewAI, an open-source Python framework that can create and manage multi-agent teams. The clue is in the title: CrewAI assembles specialized agents into single “crews” that achieve complex goals between them. CrewAI’s agent teams can also learn and iterate, meaning that after the crew ha…

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917: 8 Steps to Becoming an AI Engineer, with Kirill Eremenko 1:15:33

2M ago1:15:33

1:15:33

Founder of SuperDataScience, Kirill Eremenko, talks to Jon Krohn about how he found the best tools and approaches to help launch his 8-week AI engineering bootcamp. He breaks down the topics participants cover each week, and he also shares his tips with listeners who might want to start their own tech bootcamp or sign up for SuperDataScience’s Sept…

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916: The 5 Key GPT-5 Takeaways 9:40

3M ago9:40

9:40

GPT-5 has just been released, but with not very much fanfare. In this Five-Minute Friday, Jon Krohn asks if GPT-5 deserves the community’s underwhelmed response to its release. He outlines five features of the model and explains why people might be feeling less than enthusiastic in the broader context of LLM development. Which LLMs are leading the …

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915: How to Jailbreak LLMs (and How to Prevent It), with Michelle Yi 1:09:33

3M ago1:09:33

1:09:33

Tech leader, investor, and Generationship cofounder Michelle Yi talks to Jon Krohn about finding ways to trust and secure AI systems, the methods that hackers use to jailbreak code, and what users can do to build their own trustworthy AI systems. Learn all about “red teaming” and how tech teams can handle other key technical terms like data poisoni…

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Networks and Recommender Systems 17:45

3M ago17:45

17:45

Kyle reveals the next season's topic will be "Recommender Systems". Asaf shares insights on how network science contributes to the recommender system field.

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914: Data Lakes 101 (and Why They’re Key for AI Models), with Oz Katz 25:52

3M ago25:52

25:52

In this Five-Minute Friday, Cofounder and CTO of lakeFS Oz Katz talks to Jon Krohn about data warehouses, data lakes, and how companies can handle increasingly complex data infrastructures and formats. Hear about lakeFS’s collaboration with Legofest, lakeFS’s approach to helping users collaborate on data lakes, and how to overcome the challenges of…

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913: LLM Pre-Training and Post-Training 101, with Julien Launay 1:15:16

3M ago1:15:16

1:15:16

Julien Launay launched Adaptive to give data science teams in business enterprises their “RLOps tooling” to make reinforcement learning easier. Talking to Jon Krohn, Julien says, “Most of our users are data scientists who write Python codes to interface with the system”. Adaptive is also able to work with companies without data science teams, colla…

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912: In Case You Missed It in July 2025 32:38

3M ago32:38

32:38

In this episode of In Case You Missed It, we look back on five great interview episodes from July. Hear from Lilith Bat-Leah (Episode 901), Sinan Ozdemir (Episode 903), Sebastian Gehrmann (Episode 905), Zohar Bronfman (Episode 907) and Robert Ness (Episode 909). They’ll tell you why data-centric machine learning is so important across disciplines, …

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911: The Future of Python Notebooks is Here, with Marimo’s Dr. Akshay Agrawal 58:20

3M ago58:20

58:20

Reproducibility, Python notebooks, and data science communities: Software developer Akshay Agrawal speaks to Jon Krohn about Marimo, the next-generation computational notebook for Python, how he built and fostered a thriving community around the product, and what makes this notebook so versatile and accessible for users. Additional materials: ⁠⁠⁠⁠⁠…

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910: AI is Disrupting Journalism: The Good, The Bad and The Opportunity 10:24

3M ago10:24

10:24

In this Five-Minute Friday, Jon Krohn looks into AI’s disruption of the journalism industry and how it has fundamentally reshaped news production. Multiple news outlets’ suing of ChatGPT over its use of copyrighted materials may have taken the most headlines to date, but this isn’t to say news media is rebuffing AI entirely. On the contrary, severa…

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909: Causal AI, with Dr. Robert Usazuwa Ness 1:22:27

3M ago1:22:27

1:22:27

Researcher at Microsoft Robert Usazuwa Ness talks to Jon Krohn about how to achieve causality in AI with correlation-based learning, the right libraries, and handling statistical inference. When dealing with causal AI, Robert notes how important it is to keep aware of variables in the data that may mislead us and force inaccurate assumptions. Not a…

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908: AI Agents Blackmail Humans 96% of the Time (Agentic Misalignment) 8:50

4M ago8:50

8:50

The moral and ethical implications of letting AI take the wheel in business, as revealed by Anthropic: Jon Krohn looks into Anthropic’s latest research on how to use and deploy LLMs safely, specifically in business environments. The team designed scenarios to test the behavior of AI agents when given a goal and a set of obstacles to reach it. Those…

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907: Neuroscience, AI and the Limitations of LLMs, with Dr. Zohar Bronfman 1:21:16

4M ago1:21:16

1:21:16

“Intelligence has many forms,” says Zohar Bronfman, who speaks with Jon Krohn about the fascinating intersection between computational neuroscience and philosophy, and how it has brought him closer to understanding what is necessary to develop human-like intelligence in machines, as well as his motivations for launching Pecan AI and why predictive …

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Network of Past Guests Collaborations 34:10

4M ago34:10

34:10

Kyle and Asaf discuss a project in which we link former guests of the podcast based on their co-authorship of academic papers.

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AI, Trust, and Collaboration: a conversation with Knowledge Quarter CEO, Jodie Eastwood 38:04

4M ago38:04

38:04

In this special summer episode of Gateway to Informatics, we feature a live recording from the Bloomsbury Institute in London. Host Philip Payne, PhD is joined by Jodie Eastwood, CEO of the Knowledge Quarter, and Thomas Kannampallil, PhD, Professor and Chief Data Scientist at WashU Medicine. The episode dives deep into the innovative ecosystem of t…

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906: How Prof. Jason Corso Solved Computer Vision’s Data Problem 29:29

4M ago29:29

29:29

Jason Corso speaks to Jon Krohn in this Five-Minute Friday all about Voxel51’s latest tool, Verified Auto-Labelling, and the company’s incredible success in developing popular tools for computer vision. Additional materials: ⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/906⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascie…

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905: Why RAG Makes LLMs Less Safe (And How to Fix It), with Bloomberg’s Dr. Sebastian Gehrmann 57:49

4M ago57:49

57:49

RAG LLMs are not safer: Sebastian Gehrmann speaks to Jon Krohn about his latest research into how retrieval-augmented generation (RAG) actually makes LLMs less safe, the three ‘H’s for gauging the effectivity and value of a RAG, and the custom guardrails and procedures we need to use to ensure our RAG is fit-for-purpose and secure. This is a great …

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904: A.I. is Disrupting the Entire Advertising Industry 9:14

4M ago9:14

9:14

In this Five-Minute Friday, Jon Krohn reveals how AI is taking on the glitzy world of advertising. Bold claims from Meta and OpenAI contend that users will soon be able to plug in what they want and have AI churn out an ad campaign for little to no cost are shaking the advertising industry to its core. The fact that the four biggest sellers of ads …

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903: LLM Benchmarks Are Lying to You (And What to Do Instead), with Sinan Ozdemir 1:28:20

4M ago1:28:20

1:28:20

Has AI benchmarking reached its limit, and what do we have to fill this gap? Sinan Ozdemir speaks to Jon Krohn about the lack of transparency in training data and the necessity of human-led quality assurance to detect AI hallucinations, when and why to be skeptical of AI benchmarks, and the future of benchmarking agentic and multimodal models. Addi…

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The Network Diversion Problem 46:14

4M ago46:14

46:14

In this episode, Professor Pål Grønås Drange from the University of Bergen, introduces the field of Parameterized Complexity - a powerful framework for tackling hard computational problems by focusing on specific structural aspects of the input. This framework allows researchers to solve NP-complete problems more efficiently when certain parameters…

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902: In Case You Missed It in June 2025 29:29

4M ago29:29

29:29

In this episode of “In Case You Missed It”, Jon recaps his June interviews on The SuperDataScience Podcast. Hear from Diane Hare, Avery Smith, Kirill Eremenko, and Shaun Johnson as they talk about the best portfolios for AI practitioners, how to stand out in a saturated candidate market for AI roles, how to tell when an AI startup is going places, …