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:
- Not available for supervision
- Media expert
Qualifications
- Doctor of Philosophy of Computer Science, The University of Queensland
Works
Search Professor Tim Miller’s works on UQ eSpace
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
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
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
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
Journal Article
Technology for societal change: evaluating a mobile app addressing the emotional needs of people experiencing homelessness
Burrows, Rachel, Mendoza, Antonette, Pedell, Sonja, Sterling, Leon, Miller, Tim and Lopez-Lorca, Alexi (2022). Technology for societal change: evaluating a mobile app addressing the emotional needs of people experiencing homelessness. Health Informatics Journal, 28 (4) 14604582221146720. doi: 10.1177/14604582221146720
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, United States, 30 April-5 May 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3491102.3517606
2022
Journal Article
Planning with Perspectives - Decomposing Epistemic Planning using Functional STRIPS
Hu, Guang, Miller, Tim and Lipovetzky, Nir (2022). Planning with Perspectives - Decomposing Epistemic Planning using Functional STRIPS. Journal of Artificial Intelligence Research, 75, 489-539.
2022
Journal Article
Efficient multi-agent epistemic planning: teaching planners about nested belief
Muise, Christian, Belle, Vaishak, Felli, Paolo, McIlraith, Sheila, Miller, Tim, Pearce, Adrian R. and Sonenberg, Liz (2022). Efficient multi-agent epistemic planning: teaching planners about nested belief. Artificial Intelligence, 302 103605, 1-36. doi: 10.1016/j.artint.2021.103605
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
2021
Conference Publication
Invertible concept-based explanations for CNN models with non-negative concept activation vectors
Zhang, Ruihan, Madumal, Prashan, Miller, Tim, Ehinger, Krista A. and Rubinstein, Benjamin I. P. (2021). Invertible concept-based explanations for CNN models with non-negative concept activation vectors. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, Virtual, 2-9 February 2021. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v35i13.17389
2021
Journal Article
Contrastive explanation: a structural-model approach
Miller, Tim (2021). Contrastive explanation: a structural-model approach. The Knowledge Engineering Review, 36 e14, 1-24. doi: 10.1017/s0269888921000102
2020
Journal Article
Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review
Payrovnaziri, Seyedeh Neelufar, Chen, Zhaoyi, Rengifo-Moreno, Pablo, Miller, Tim, Bian, Jiang, Chen, Jonathan H., Liu, Xiuwen and He, Zhe (2020). Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review. Journal of the American Medical Informatics Association, 27 (7), 1173-1185. doi: 10.1093/jamia/ocaa053
2020
Journal Article
Combining gaze and AI planning for online human intention recognition
Singh, Ronal, Miller, Tim, Newn, Joshua, Velloso, Eduardo, Vetere, Frank and Sonenberg, Liz (2020). Combining gaze and AI planning for online human intention recognition. Artificial Intelligence, 284 103275, 1-16. doi: 10.1016/j.artint.2020.103275
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
2020
Conference Publication
A Closer Look at Generalisation in RAVEN
Spratley, Steven, Ehinger, Krista and Miller, Tim (2020). A Closer Look at Generalisation in RAVEN. 16th European Conference on Computer Vision-ECCV-Biennial, Electr Network, Aug 23-28, 2020. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG. doi: 10.1007/978-3-030-58583-9_36
2020
Conference Publication
Implicit Coordination Using FOND Planning
Engesser, Thorsten and Miller, Tim (2020). Implicit Coordination Using FOND Planning. 34th AAAI Conference on Artificial Intelligence / 32nd Innovative Applications of Artificial Intelligence Conference / 10th AAAI Symposium on Educational Advances in Artificial Intelligence, New York Ny, Feb 07-12, 2020. PALO ALTO: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE.
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
2019
Journal Article
Explanation in artificial intelligence: insights from the social sciences
Miller, Tim (2019). Explanation in artificial intelligence: insights from the social sciences. Artificial Intelligence, 267, 1-38. doi: 10.1016/j.artint.2018.07.007
Funding
Current funding
Supervision
Availability
- Professor Tim Miller is:
- Not available for supervision
Supervision history
Current supervision
-
Master Philosophy
Explainable decision support for skin cancer detection using machine learning
Principal Advisor
Other advisors: Dr Alina Bialkowski
-
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
-
Doctor Philosophy
Developing inclusive and culturally sensitive design guidelines for AI-enabled smart homes for people with disabilities in developing countries, based on local needs, preferences, and values
Associate Advisor
Other advisors: Associate Professor Dhaval Vyas
-
Doctor Philosophy
Advancing Concept-Based Explainable AI for Multimodal 3D Imaging
Associate Advisor
Other advisors: Dr Alina Bialkowski
Media
Enquiries
Contact Professor Tim Miller directly for media enquiries about:
- artificial intelligence
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