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What Is Explainable AI?

Dr. Kelly Cohen is a Professor of Aerospace Engineering at the University of Cincinnati and a leading authority in explainable, certifiable AI systems. With more than 31 years of experience in artificial intelligence, his research focuses on fuzzy logic, safety-critical systems, and responsible AI deployment in aerospace and autonomous environments. His lab’s work has received international recognition, with students earning top global research awards and building real-world AI products used in industry. In this episode 190 of the Disruption Now Podcast, 👩‍🔬 Dr. Cohen explains: What explainable AI really means for clinicians How transparent models improve patient safety Strategies to reduce algorithmic bias in healthcare systems Real examples of XAI in diagnostics & treatment This video is essential for tech leaders, AI researchers, data scientists, clinicians, and anyone interested in ethical, trustworthy AI in medicine. 📅 CHAPTERS / TIMESTAMPS 00:00 Introduction — Why XAI in Healthcare 02:15 Kelly Cohen Bio & Expertise 05:40 What Explainable AI Actually Is 11:20 Challenges in Medical AI Adoption 16:50 Case Study: XAI in Diagnostics 22:10 Reducing Bias in ML Models 28:35 Regulatory & Ethical Standards 33:50 Future of Explainability in Medicine 39:25 Audience Q&A Highlights 44:55 Final Thoughts & Next Steps 💡 Q&A SNIPPET Q: What is explainable AI? A: Explainable AI refers to systems where decisions can be understood, traced, and validated — critical for safety-critical applications like aerospace, healthcare, and autonomous vehicles. Q: Why is black-box AI dangerous? A: Without transparency, errors cannot be audited, responsibility is unclear, and humans become unknowing test subjects. Q: What is insurable AI? A: Insurable AI is AI that has been tested, quantified for risk, and certified to the point where insurers are willing to underwrite it — creating real accountability. 🔗 RESOURCES & HANDLES Dr. Kelly Cohen LinkedIn: 🔗   / kelly-cohen-phd   Mentioned Concepts: ✔ Explainable AI (XAI) ✔ Model interpretability ✔ Algorithmic bias & fairness 🎧 About This Channel Disruption Now makes technology accessible and human-centric. Our mission is to demystify complex systems and open conversations across domains that are often hard to grasp — from politics to emerging tech, ethics, civic systems, and more — so every viewer can engage thoughtfully and confidently. We disrupt the status quo. 🔗 Follow & Connect 👤 Rob Richardson Founder, Strategist, Curator X (Twitter): https://x.com/RobforOhio Instagram:   / robforohio   Facebook:   / robforohio   LinkedIn:   / robrichardsonjr   🌐 Disruption Now Human-centric tech, culture & conversation YouTube (Core Channel):    / @disruptionnow   TikTok:   / disruptionnow   Instagram:   / disrupt.art   X (Twitter):   / disruptionnow   Clubhouse: https://www.clubhouse.com/@disruptionnow 📅 MidwestCon Week The Midwest’s human-centered tech & innovation week — Sept 8–11, 2026 in Cincinnati, Ohio 🌆 MidwestCon Week brings together builders, policymakers, creators, and learners for multi-sector conversations on technology, policy, and inclusive innovation. Official Website: https://midwestcon.live/ Instagram:   / midwestcon_   TikTok:   / midwestcon   🔔 Subscribe for Deep, human-centric tech exploration Conversations breaking down barriers to understanding Event updates including MidwestCon Week Culture, policy, and innovation insights #DisruptionNow #TechForAll #MidwestConWeek Music Credit: Lofi Music HipHop Chill 2 - DELOSound