Patrick Hall

Patrick Hall is a teaching assistant professor of decision sciences at the George Washington University School of Business, teaching data ethics, business analytics, and machine learning classes. He also conducts research in support of NIST's AI risk management framework, is affiliated with leading fair lending and AI risk management advisory firms, and serves on the board of directors for the AI Incident Database.

Patrick has co-founded several services firms where he pioneered the emergent discipline of auditing and red-teaming AI systems; he also led H2O.ai's efforts in the development of responsible AI products, resulting in one of the world's first commercial applications for explainability and bias management in machine learning.

Patrick has been invited to speak on AI and machine learning topics at the National Academies, the Association for Computing Machinery SIG-KDD Conference ("KDD"), and the American Statistical Association Joint Statistical Meetings. His expertise has been sought in the New York Times and NPR, he has been published in outlets like Information, Frontiers in AI, McKinsey.com, O'Reilly Media, and Thomson Reuters Regulatory Intelligence, and his technical work has been profiled in Fortune, WIRED, InfoWorld, TechCrunch, and others. Patrick is the lead author of the book Machine Learning for High-Risk Applications.