Jason Millar
Associate Professor
School of Engineering Design and Teaching Innovation
Jason Millar is an Associate Professor in the School of Engineering Design and Teaching Innovation at the University of Ottawa, with a cross-appointment in the Department of Philosophy. He holds the Canada Research Chair T2 in the Ethical Engineering of Robotics and Artificial Intelligence (AI) and is Director of the Canadian Robotics and Artificial Intelligence Ethical Design Lab (CRAiEDL.ca). Jason is also a Faculty Member at the Centre for Law, Technology and Society (uOttawa), leads the AI and Robotics Research and Engagement Cluster at uOttawa's Institute for Science, Society and Policy (ISSP), and is a member of the Centre for Health Law, Policy and Ethics. He researches the ethical engineering of robotics and artificial intelligence (AI), with a focus on empowering engineers to integrate ethical thinking into their daily engineering workflow. Jason’s work focuses primarily on the ethics, policy and the ethical engineering of automated vehicles, artificial intelligence, healthcare robotics, social and military robotics. Jason has a degree in engineering physics, and worked for several years as an engineer before turning his full-time attention to issues in philosophy and applied ethics. He has authored book chapters, policy reports, and articles on the ethics and governance of robotics and AI. Jason has provided expert testimony at the United Nations CCW, and the Senate of Canada, on the ethics of highly automated military robots. His research has been cited at the Supreme Court of Canada. He consults internationally on policy, and ethical engineering issues in emerging robotics and AI technology. His work has been featured in the media, including articles in publications such as WIRED and The Guardian, and interviews with the BBC, CBC and NPR.
Selected Publications
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Social Failure Modes in Technology and the Ethics of AI: An Engineering Perspective
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Privacy, Ethics, and Contact-tracing Apps
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Lessons Learned: An Ethics Roadmap for Real-Time Predictions