Shield AI, Waabi, and General Motors talk AI at Disrupt 2026

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? The conversation will get into the work behind deploying AI where the stakes are high: creating a safety culture, testing and validating systems, navigating regulatory hurdles, and earning trust. AtShield AI,Nathan Michaelleads the development and deployment of Hivemind, the company’s platform-agnostic mission autonomy software. His background spans AI, control, perception, and multi-robot systems, including years at Carnegie Mellon University’s Robotics Institute, where he directed the Resilient Intelligent Systems Lab. That expertise is being put to work on technology designed for some of AI’s highest-stakes environments. In February, Hivemind was selected as an autonomy provider for the U.S. Air Force’s Collaborative Combat Aircraft drone prototype program. A month later, Shield AI announced $1.5 billion in Series G funding at a $12.7 billion post-money valuation. At Disrupt, Michael brings the perspective of an AI leader developing autonomous systems for environments where performance has to be matched by assurance. What does it take to trust AI with a mission?Secure your Disrupt passbefore September 25, 11:59 p.m. PT, and hear Nathan Michael’s perspective on developing autonomy for high-stakes environments. Raquel Urtasunhas spent 25 years working in AI and autonomous vehicles. Before foundingWaabi, she served as chief scientist and head of R&D at Uber ATG. She’s also a professor of computer science at the University of Toronto, co-founded the Vector Institute for AI, and has published more than 200 AI papers. Now Waabi is preparing to take its autonomous-driving technology much further. In January, the company raised $1 billion and announced a partnership with Uber to support the deployment of 25,000 or more Waabi Driver-powered robotaxis. Testing and validation are central to Waabi’s approach. Its Waabi World simulator trains, tests, and stress-tests the Waabi Driver in a virtual environment, and Urtasun has said the company’s autonomous trucks still need to be fully validated before driverless deployment. That puts one of the session’s central questions squarely in Urtasun’s wheelhouse: How do you determine when an AI system is ready to operate without a human behind the wheel? Mikell Taylorhas spent more than two decades building robots designed to do useful work. Today, she leads robotics strategy forGeneral Motors’ Autonomous Robotics Center. Previously, she led the Amazon Robotics team that developed Proteus, Amazon’s first autonomous mobile robot. Her robotics career started in a decidedly less industrial setting: She once built a robotic senior prom date. Since then, Taylor has worked on everything from autonomous underwater vehicles to industrial robotic systems, with a focus on robots that are practical, reliable, and able to work effectively around people. Taylor’s experience will shed light on a fundamental challenge facing real-world robotics: user experience and adoption need to be considered from the start, as part of both product design and deployment planning. That human element matters when AI-powered machines leave controlled demonstrations and enter workplaces where people have to depend on them. Aircraft. Autonomous vehicles. Industrial robots. The environments may be different, but all three put the same question in sharp focus: When the consequences of failure are real, what does it take to deploy with confidence? For founders and technology leaders building autonomous systems, the session offers a chance to compare how leaders in defense, autonomous driving, and industrial robotics approach the decisions that stand between a promising system and one that’s ready for the real world. This session is one of 200+across six industry stages, roundtables, and breakouts atDisrupt, October 13–15 at Moscone West in San Francisco. More than 10,000 founders, investors, operators, and tech leaders are expected, along with 250+ speakers and 300+ exhibiting startups. Beyond the agenda, matchmaking, dealmaking, and networking create more opportunities to make the connections that can move a company forward.