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LAF | Panel discussion
Aaron Snoswell · Jake Goldenfein · Finale Doshi-Velez · Evi Micha · Ivana Dusparic · Jonathan Stray

Tue Dec 14 08:30 AM -- 09:15 AM (PST) @
in Political Economy of Reinforcement Learning Systems (PERLS) »

Author Information

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.

Jake Goldenfein (Melbourne Law School)

Jake Goldenfein is a law and technology scholar at Melbourne Law School and an Associate Investigator at the ARC Centre of Excellence for Automated Decision-Making and Society.

Finale Doshi-Velez (Harvard)
Evi Micha (University of Toronto)
Ivana Dusparic (Trinity College Dublin)
Jonathan Stray (Berkeley CHAI)

Jonathan Stray is a Visiting Scholar at the Center for Human Compatible AI at UC Berkeley, where he works on the design of recommender systems for better personalized news and information. He teaches the dual masters degree in computer science and journalism at Columbia University, and previously worked as an editor at the Associated Press and built document mining software for investigative journalism. He holds an MSc in Computer Science from the University of Toronto and an MA in Journalism from the University of Hong Kong.

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