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The article focuses on the critical challenges of deploying AI in high-stakes physical domains like aviation and robotics, specifically addressing safety validation, regulatory compliance, and trust-building. This discussion centers on the transition from theoretical models to reliable autonomous systems where failure carries severe consequences, making it a core issue for the AI research and deployment community.
Shield AI, Waabi, and General Motors on building AI when failure is not an option at TechCrunch Disrupt 2026
Leaders from Waabi, Shield AI, and General Motors join the Real World AI Stage at TechCrunch Disrupt 2026 to talk building AI. Save up to $200 by September 25 at 11:59 p.m. PT. Get a second pass at 50% off.
An AI chatbot can give you a bad answer. An AI system controlling an aircraft, vehicle, or robot can create an entirely different kind of problem. When artificial intelligence (AI) moves into the physical world, a mistake can ground an aircraft, cause a vehicle crash, or compromise a mission. So how do you know when an autonomous system is actually ready to leave the lab? At TechCrunch Disrupt 2026, Shield AI Chief Technology Officer Nathan Michael, Waabi founder and CEO Raquel Urtasun, and General Motors Director of Robotics Strategy Mikell Taylor will tackle…
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