Tim Miller

I am a Professor of Artificial Intelligence in the School of Electrical Engineering and Computer Science at The University of Queensland, Meaanjin/Brisbane, Australia. My research draws on machine learning, reinforcement learning, AI planning, interaction design, and cognitive science, to help people to make better decisions. I have done work on areas including explainable AI, human-AI planning, and human-centered decision support. Prior to my appointment at The University of Queensland, Tim was a Professor of Computer Science in the School of Computing and Information Systems at The University of Melbourne, where I was founding co-director of The Centre for AI and Digital Ethics. I am an honorary professor at the University of Melbourne. If you are an organisation applying artificial intelligence or looking to apply artificial intelligence, especially in south-east Queensland, please reach out. I am always interested to hear what organisations are currently doing, the opportunities and barriers in this space, and how the University of Queensland can help. If you are prospective PhD student interested in studying for a PhD under my supervisor, see here. machine learning, reinforcement learning, AI planning, interaction design, and cognitive science, to help people to make better decisions. I have done work on areas including explainable AI, human-AI planning, and human-centered decision support.

[2026] Fast Concept-based Counterfactual Explanations for Image Classification [2026] A segmentation algorithm for online intention recognition of mobile agents [2025] Using generative artificial intelligence in clinical practice: a narrative review and proposed agenda for implementation [2025] Diametrically opposed attributes? Review process preferences and priorities when contesting algorithmic decisions [2025] Improving tactical decision-making through multiobjective contrastive explanations [2025] Explainable AI, energy and critical infrastructure systems [2025] An actionability assessment tool for enhancing algorithmic recourse in explainable AI [2025] Quality work in the future: new directions via a co-evolving sociotechnical systems perspective [2025] Towards Explainable Goal Recogn