The Health and Explainable AI podcast is a collaborative initiative between the Health and Explainable AI (HexAI) Research Lab in the Department of Health Information Management at the School of Health and Rehabilitation Sciences, and the Computational Pathology and AI Center of Excellence (CPACE), at the University of Pittsburgh School of Medicine. Led by Ahmad P. Tafti, Hooman Rashidi and Liron Pantanowitz, the podcast explores the transformative integration of responsible and explainable artificial intelligence into health informatics, clinical decision-making, and computational medicine. more

Description: Creating AI Trust is a very complex and hard problem. It is not clear what it is and how it can be operationalized. We will demystify what is Trustworthy AI, efficient adoption and leveraging it for reducing risks in AI programs. McKinsey reports indicates companies seeing the biggest bottom-line returns from AI—those that attribute at least 20 percent of EBIT or profitability to their use of AI—are more likely than others to follow Trustworthy AI best practices, including explainability. Further, organizations that establish digital trust among consumers through responsible practices such as making AI explainable are more likely to see their annual revenue and profitability grow at rates of 10 percent or more. more

How does the act of explanation, done by humans, work and how can it be applied to AI systems? These questions are being investigated by the Collaborative Research Center 'Constructing Explainability' at the universities of Bielefeld and Paderborn.In this podcast we bring together the different disciplines: Two researchers from different fields discuss a concept around Explainable Artificial Intelligence (XAI) from their point of view. The discussion is moderated by Professor Britta Wrede, professor for Medical Assistance Systems at Bielefeld University and an expert on Explainable Artificial Intelligence. more

AI Explained is a series hosted by Fiddler AI featuring industry experts on the most pressing issues facing AI and machine learning teams.Learn more about Fiddler AI: www.fiddler.ai more

The AE Alignment Podcast explores the ideas, research, and people working to make advanced AI systems more interpretable, and more aligned. Hosted by James Bowler, the show features conversations with researchers, engineers, and technical leaders at AE Studio and beyond on topics including mechanistic interpretability, model psychology, and approaches to AI alignment.Each episode aims to make cutting-edge alignment research more accessible without losing the technical substance, giving listeners a front-row seat to the questions shaping the future of AI. more

Lucas and Luna sit at a data-science workstation, two thin laptops open to scatter plots and clustering visualizations, and ask: what can we actually learn from the numbers? Each episode of The Data Science Podcast with Fexingo is a grounded, specific conversation about a single analytics problem or machine-learning method — from regularization in regression to the bias-variance trade-off in random forests. Lucas leads with a journalistic eye for how models are built and tested in the real world, citing actual case studies like how Netflix used matrix factorization for recommendations or how healthcare researchers apply survival analysis to clinical trials. Luna keeps the discussion honest, asking about data quality, feature engineering pitfalls, and whether a model's accuracy actually translates to business value. They never resort to buzzwords: instead, they walk through the workflow from data collection to deployment, discussing trade-offs like interpretability versus performance. The show serves data scientists, analysts, and engineers who want to stay sharp on methods without the hype. Listeners walk away with a clearer understanding of why one algorithm beats another on a given dataset, and what that means for their own projects. Can a neural network ever be truly explainable? And if not, should we trust it anyway?#DataScience #MachineLearning #Analytics #DataEngineering #Statistics #Python #RStats #DeepLearning #AI #BigData #DataVisualization #PredictiveModeling #CausalInference #DataQuality #FeatureEngineering #Business #FexingoBusiness #BusinessPodcast #TechnologyKeep every episode free: buymeacoffee.com/fexingo more

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

Explainable AI is a podcast that makes AI technology understandable and accessible, featuring co-hosts with deep expertise in entrepreneurship and technology. more