Aaron Snoswell is a research fellow in computational law at the Australian Research Council Centre of Excellence for Automated Decision-Making and Society.
With a background in cross-disciplinary mechatronic engineering and computer science, Aaron’s Ph.D. research developed new theory and algorithms for understanding behaviour using Inverse Reinforcement Learning and was undertaken jointly at the UQ school of Mathematics and Physics and the school of IT and Electrical Engineering. He is a former UQ Global Change Scholar and has taught into undergraduate and postgraduate courses on advanced statistics, artificial intelligence, machine learning, mathematics, pattern recognition, data science, robotics, and control theory.
Aaron’s engineering experience focussed on assisting multi-disciplinary teams with the development and translation of novel and prototype technologies into practice. He has worked across varied industries including biomedical device development, clinical and health services policy research, the aerospace and defence sectors, and commercial pilot and astronaut training.
Aaron has a particular research interest in the philosophy and regulation of autonomous decision-making agents, and his research at the centre investigates techno-legal mechanisms for achieving alignment and accountability of ADM systems.