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Author Information
Mark Nitzberg (CHAI / UC Berkeley)
Dr. Mark Nitzberg is a computer scientist and entrepreneur focused on the effects of AI and related technologies on our society, economy and democracy. He is Executive Director of the UC Berkeley Center for Human-Compatible AI, Head of Strategic Outreach at the Berkeley AI Research Lab, and Director of Technology Research at BRIE, the Berkeley Roundtable on the International Economy. In industry, he has built technology ventures applying AI in health care, finance, education and data analytics for developing regions. He has worked at Bell Laboratories, Microsoft, and Amazon. He wrote his PhD in Computer Vision under David Mumford at Harvard.
Aaron Snoswell (Queensland University of Technology)
Aaron is a research fellow in computational law at the Australian Research Council Centre of Excellence for Autonomous Decision Making and Society. With a background in cross-disciplinary mechatronic engineering, Aaron’s Ph.D. research developed new theory and algorithms for Inverse Reinforcement Learning in the maximum conditional entropy and multiple intent settings. Aaron’s ongoing work investigates technical measures for achieving value alignment for autonomous decision making systems, and legal-theoretic models for AI accountability.
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