Prashan Madumal is a Postdoctoral Researcher focusing on Trustworthy AI and Explainability. His research interests broadly lie in Explainable AI, Reinforcement Learning and Causal Learning. Previously he was a member of the AI and Autonomy Lab at The University of Melbourne. He received his PhD From The University of Melbourne, where his research work was recognised by the Google PhD Fellowship Program.
Trustworthy AI, Explainable AI, Reinforcement Learning, Causal Learning
This OII research programme investigates legal, ethical, and social aspects of AI, machine learning, and other emerging information technologies.
This project will evaluate the effectiveness of accountability tools addressing explainability, bias, and fairness in AI. A ‘trustworthiness auditing meta-toolkit’ will be developed and validated via case studies in healthcare and open science.
