Professor Tim Miller

Professor, Artificial Intelligence

School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology

Overview

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.

Qualifications

  • Doctor of Philosophy of Computer Science, The University of Queensland

Publications

  • Paterson, Jeannie, Miller, Tim and Lyons, Henrietta (2024). Demystifying consumer-facing fintech accountability for automated advice tools. Money, power, and AI: automated banks and automated state. (pp. 29-50) edited by Zofia Bednarz and Monika Zalnieriute. Cambridge, United Kingdom: Cambridge University Press. doi: 10.1017/9781009334297.005

  • Cooper, Mark, Hickey, Lee, Jiang, Xianxian, La Fata, Giorgio, Lomas, Harold, Miller, Tim, O’Brien, Susan, Patel, Parth and Tomarchio, Samuel (2024). Transforming food production with AI. Food AI: A game changer for Australia’s food and beverage sector. (pp. 5-13) edited by Janet R. McColl-Kennedy and Damian Hine. Brisbane, QLD, Australia: The University of Queensland, Australia's Food and Beverage Accelerator (FaBA).

  • Singh, Ronal, Miller, Tim, Lyons, Henrietta, Sonenberg, Liz, Velloso, Eduardo, Vetere, Frank, Howe, Piers and Dourish, Paul (2023). Directive Explanations for Actionable Explainability in Machine Learning Applications. ACM Transactions on Interactive Intelligent Systems, 13 (4), 1-26. doi: 10.1145/3579363

View all Publications

Publications

Book Chapter

  • Paterson, Jeannie, Miller, Tim and Lyons, Henrietta (2024). Demystifying consumer-facing fintech accountability for automated advice tools. Money, power, and AI: automated banks and automated state. (pp. 29-50) edited by Zofia Bednarz and Monika Zalnieriute. Cambridge, United Kingdom: Cambridge University Press. doi: 10.1017/9781009334297.005

  • Cooper, Mark, Hickey, Lee, Jiang, Xianxian, La Fata, Giorgio, Lomas, Harold, Miller, Tim, O’Brien, Susan, Patel, Parth and Tomarchio, Samuel (2024). Transforming food production with AI. Food AI: A game changer for Australia’s food and beverage sector. (pp. 5-13) edited by Janet R. McColl-Kennedy and Damian Hine. Brisbane, QLD, Australia: The University of Queensland, Australia's Food and Beverage Accelerator (FaBA).

  • Miller, Tim, Pearce, Adrian R. and Sonenberg, Liz (2018). Social Planning for Trusted Autonomy. Foundations of Trusted Autonomy. (pp. 67-86) Cham, Switzerland: Springer. doi: 10.1007/978-3-319-64816-3_4

Journal Article

Conference Publication

  • Lyons, Henrietta, Miller, Tim and Velloso, Eduardo (2023). Algorithmic decisions, desire for control, and the preference for human review over algorithmic review. 2023 ACM Conference on Fairness, Accountability, and Transparency, Chicago, IL, United States, 12–15 June 2023. New York, NY, United States: ACM. doi: 10.1145/3593013.3594041

  • Miller, Tim (2023). Explainable AI is dead, long live explainable AI! : hypothesis-driven decision support using evaluative AI. 2023 ACM Conference on Fairness, Accountability, and Transparency, Chicago, IL, United States, 12–15 June 2023. New York, NY, United States: ACM. doi: 10.1145/3593013.3594001

  • Ping, Tan Ping, Verspoor, Karin and Miller, Timothy (2022). Characterizing text revisions to better support collaborative. 2022 International Conference on Digital Transformation and Intelligence (ICDI), Kuching, Sarawak, Malaysia, 1-2 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDI57181.2022.10007395

  • Burrows, Rachel, Lopez-Lorca, Antonio, Sterling, Leon, Miller, Tim, Mendoza, Antonette and Pedell, Sonja (2019). Motivational Modelling in Software for Homelessness: Lessons from an Industrial Study. 2019 IEEE 27th International Requirements Engineering Conference (RE), Jeju, Korea, 23-27 September 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/re.2019.00039

  • Miller, Tim and Strooper, Paul (2001). Animation can show only the presence of errors, never their absence. Australian Software Engineering Conference, ASWEC 2001, Canberra, ACT, Australia, 27-28 August 2001. Los Alamitos, CA, United States: IEEE Computer Society. doi: 10.1109/ASWEC.2001.948500

Other Outputs