Overview
Background
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.
Availability
- Professor Tim Miller is:
- Available for supervision
Qualifications
- Doctor of Philosophy of Computer Science, The University of Queensland
Works
Search Professor Tim Miller’s works on UQ eSpace
2024
Book Chapter
Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence
Le, Thao, Miller, Tim, Sonenberg, Liz and Singh, Ronal (2024). Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence. Frontiers in Artificial Intelligence and Applications. IOS Press. doi: 10.3233/faia240571
2024
Conference Publication
How to Validate XAI in Longitudinal Studies?
Gjoreski, Martin, Laporte, Matias, Langheinrich, Marc and Miller, Tim (2024). How to Validate XAI in Longitudinal Studies?. ACM International Joint Conference on Pervasive and Ubiquitous Computing / ACM International Symposium on Wearable Computers (UbiComp/ISWC), Melbourne Australia, Oct 05-09, 2024. New York, NY, USA: ACM. doi: 10.1145/3675094.3678997
2024
Journal Article
Using conversant artificial intelligence to improve diagnostic reasoning: ready for prime time?
Scott, Ian A., Miller, Tim and Crock, Carmel (2024). Using conversant artificial intelligence to improve diagnostic reasoning: ready for prime time?. Medical Journal of Australia, 221 (5), 240-243. doi: 10.5694/mja2.52401
2024
Journal Article
Capturing the ghost in the machine: a process for development and validation of measures of phenomenal consciousness in delirium
Eeles, Eamonn, Tran, David Duc, Ward, Sarah, Teodorczuk, Andrew, Ray, Julian, Miller, Tim and Dissanayaka, Nadeeka N. (2024). Capturing the ghost in the machine: a process for development and validation of measures of phenomenal consciousness in delirium. Age and Ageing, 53 (7) afae144. doi: 10.1093/ageing/afae144
2024
Book
Mastering Reinforcement Learning
Miller, Tim (2024). Mastering Reinforcement Learning. Brisbane, Australia: The University of Queensland. doi: 10.14264/4bf1412
2024
Book Chapter
Transforming food production with AI
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).
2024
Book Chapter
Demystifying consumer-facing fintech accountability for automated advice tools
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
2023
Journal Article
Directive explanations for actionable explainability in machine learning applications
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) 23, 1-26. doi: 10.1145/3579363
2023
Conference Publication
Explainable AI is dead, long live explainable AI! : hypothesis-driven decision support using evaluative AI
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
2023
Conference Publication
Algorithmic decisions, desire for control, and the preference for human review over algorithmic review
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
2023
Journal Article
Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications
Gjaerum, Vilde B., Strumke, Inga, Lover, Jakob, Miller, Timothy and Lekkas, Anastasios M. (2023). Model tree methods for explaining deep reinforcement learning agents in real-time robotic applications. Neurocomputing, 515, 133-144. doi: 10.1016/j.neucom.2022.10.014
2022
Conference Publication
Characterizing text revisions to better support collaborative
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
2022
Conference Publication
What's the Appeal? Perceptions of Review Processes for Algorithmic Decisions
Lyons, Henrietta, Wijenayake, Senuri, Miller, Tim and Velloso, Eduardo (2022). What's the Appeal? Perceptions of Review Processes for Algorithmic Decisions. CHI Conference on Human Factors in Computing Systems (CHI), New Orleans La, Apr 30-May 05, 2022. NEW YORK: ASSOC COMPUTING MACHINERY. doi: 10.1145/3491102.3517606
2021
Journal Article
Modeling communication of collaborative multiagent system under epistemic planning
Alshehri, Abeer, Miller, Tim and Sonenberg, Liz (2021). Modeling communication of collaborative multiagent system under epistemic planning. International Journal of Intelligent Systems, 36 (10), 5959-5980. doi: 10.1002/int.22536
2020
Journal Article
Demand-Driven Transparency for Monitoring Intelligent Agents
Vered, Mor, Howe, Piers, Miller, Tim, Sonenberg, Liz and Velloso, Eduardo (2020). Demand-Driven Transparency for Monitoring Intelligent Agents. IEEE Transactions on Human-Machine Systems, 50 (3), 264-275. doi: 10.1109/thms.2020.2988859
2019
Journal Article
XAI—Explainable artificial intelligence
Gunning, David, Stefik, Mark, Choi, Jaesik, Miller, Timothy, Stumpf, Simone and Yang, Guang-Zhong (2019). XAI—Explainable artificial intelligence. Science Robotics, 4 (37). doi: 10.1126/scirobotics.aay7120
2019
Conference Publication
Motivational Modelling in Software for Homelessness: Lessons from an Industrial Study
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
2018
Book Chapter
Social Planning for Trusted Autonomy
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
2017
Journal Article
A framework for automatically ensuring the conformance of agent designs
Abushark, Yoosef, Thangarajah, John, Harland, James and Miller, Tim (2017). A framework for automatically ensuring the conformance of agent designs. Journal of Systems and Software, 131, 266-310. doi: 10.1016/j.jss.2017.05.098
2016
Journal Article
Requirements specification via activity diagrams for agent-based systems
Abushark, Yoosef, Miller, Tim, Thangarajah, John, Winikoff, Michael and Harland, James (2016). Requirements specification via activity diagrams for agent-based systems. Autonomous Agents and Multi-Agent Systems, 31 (3), 423-468. doi: 10.1007/s10458-016-9327-7
Funding
Current funding
Supervision
Availability
- Professor Tim Miller is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Current supervision
-
Doctor Philosophy
Human-centered verification of language model outputs
Principal Advisor
Other advisors: Professor Guido Zuccon, Dr Joel Mackenzie
-
Doctor Philosophy
Human in the Loop Decision Systems for Online Safety
Associate Advisor
Other advisors: Professor Gianluca Demartini
Media
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