Right Turns and Unprotected Lefts: Where AI Can (and Can't) Replace Engineers | Mark Fuge

In this episode, we sit down with Mark Fuge, Professor of Mechanical Engineering at ETH Zurich and Chair of Artificial Intelligence in Engineering Design, to explore the gap between what industry needs from AI and what academia is actually delivering, and why closing that gap starts with getting both sides in the same room.Mark shares his journey from writing Perl scripts at GE Aviation to pioneering ML for mechanical engineering back when the idea got you laughed out of job interviews. We discuss his concept of "use-inspired basic research," why the three fundamental challenges for AI in engineering are composition, abstraction, and uncertainty management, and how a helicopter manufacturer's request in 2018 led to an ETH course where students tackle real multi-physics design problems with today's AI tools.We also dig into his "right turns vs. unprotected lefts" analogy for understanding where AI can reliably take over and where human judgment remains essential, why tasteand design thinking will matter more as building becomes free, and his vision for AI-driven personalised medical devices that could transform care for children withcongenital heart disease.In this episode, we cover:Why AI in engineering is where FEA was in the 1960s, and what that means for adoption timelinesHow engineers are shifting from builders to architects, and why understanding the problem matters more than unlimited computeThe case for bringing industry and academia together to define the real research questions, not just the interesting onesLinks from the show:Get in Touch:Mark Fugehttps://www.linkedin.com/in/markfuge/Conference Link & Topicshttps://event.asme.org/IDETC-CIEhttps://idetc.secure-platform.com/a/page/tracks_topicsMartin Bielickihttps://www.linkedin.com/in/martin-bielicki/Chapters ➡️00:00 Introduction to AI in Engineering 02:25 Mark Fuge's Journey into AI and Engineering Design 04:03 Bridging the Gap: Industry Needs vs. Academic Research 07:29 Understanding Industry Challenges in Engineering 09:32 Emerging Solutions and Startups in Engineering AI 11:50 Innovative Teaching: Preparing Students for the Future 16:21 The Evolving Role of Engineers in the AI Era 21:56 Perceptions of AI in Engineering 25:50 The Future of Human-AI Collaboration 30:23 Vision for Humanity: Engineering a Better Future