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2026 Journal Article AI-Based Structured Information Extraction From Synthetic Nursing Handover Transcripts: Comparative Evaluation of Large Language ModelsConway, Aaron, Hada, Adriana, Schluter, Jessica, Xu, Hui (Grace), Lowden, Dan, Miller, Tim, Donald, Ken and Teodorczuk, Andrew (2026). AI-Based Structured Information Extraction From Synthetic Nursing Handover Transcripts: Comparative Evaluation of Large Language Models. JMIR Nursing, 9 v9i6e106133, e106133-e106133. doi: 10.2196/106133 |
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2026 Journal Article Fast concept-based counterfactual explanations for image classificationZhang, Ruihan, Miller, Tim, Ehinger, Krista A. and Rubinstein, Benjamin I.P. (2026). Fast concept-based counterfactual explanations for image classification. Artificial Intelligence, 359 104599, 1-24. doi: 10.1016/j.artint.2026.104599 |
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2026 Conference Publication Easy to read, easy to trust: how processing fluency in LLM explanations drives over-reliance in hate speech moderationTuo, Bing, Miller, Tim and Demartini, Gianluca (2026). Easy to read, easy to trust: how processing fluency in LLM explanations drives over-reliance in hate speech moderation. HCOMP 2026: 2026 ACM Conference on Human-AI Complementarity and Alignment, Alexandria VA USA, 27-30 September 2026. New York, NY, United States: ACM (Association for Computing Machinery). doi: 10.1145/3834580.3838739 |
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2026 Journal Article Countering the Risks of AI Overreliance: Leveraging Multi-Agent Debate for Complementary Human–AI Decision-Making in Legal ContextsTuo, Bing, Wang, Brydon, Miller, Tim and Demartini, Gianluca (2026). Countering the Risks of AI Overreliance: Leveraging Multi-Agent Debate for Complementary Human–AI Decision-Making in Legal Contexts. ACM Transactions on Intelligent Systems and Technology 3848504. doi: 10.1145/3848504 |
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2026 Journal Article A segmentation algorithm for online intention recognition of mobile agentsHashem, Tanzima, Duckham, Matt, Tao, Yaguang, Radosevic, Nenad and Miller, Timothy (2026). A segmentation algorithm for online intention recognition of mobile agents. Knowledge-Based Systems, 340 115661. doi: 10.1016/j.knosys.2026.115661 |
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2026 Book Introduction to software innovationMiller, Tim (2026). Introduction to software innovation. Brisbane, QLD, Australia: The University of Queensland. doi: 10.14264/3d66f1e |
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2025 Journal Article Using generative artificial intelligence in clinical practice: a narrative review and proposed agenda for implementationScott, Ian A, Reddy, Sandeep, Kelly, Tanya, Miller, Tim and van der Vegt, Anton (2025). Using generative artificial intelligence in clinical practice: a narrative review and proposed agenda for implementation. Medical Journal of Australia, 223 (11) mja2.70057, 664-672. doi: 10.5694/mja2.70057 |
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2025 Journal Article Diametrically opposed attributes? Review process preferences and priorities when contesting algorithmic decisionsLyons, Henrietta, Miller, Tim and Velloso, Eduardo (2025). Diametrically opposed attributes? Review process preferences and priorities when contesting algorithmic decisions. Proceedings of the ACM on Human-Computer Interaction, 9 (7) CSCW287, 1-32. doi: 10.1145/3757468 |
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2025 Journal Article Improving tactical decision-making through multiobjective contrastive explanationsBlom, Michelle, Singh, Ronal, Miller, Tim, Sonenberg, Liz, Trentelman, Kerry, Saulwick, Adam and Wark, Steven (2025). Improving tactical decision-making through multiobjective contrastive explanations. IEEE Transactions on Human-Machine Systems, 55 (5), 855-864. doi: 10.1109/thms.2025.3591163 |
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2025 Journal Article Explainable AI, energy and critical infrastructure systemsLeofante, Francesco, Artelt, André, Eliades, Demetrios, Korre, Anna, Toni, Francesca and Miller, Tim (2025). Explainable AI, energy and critical infrastructure systems. AI Magazine, 46 (3) e70033. doi: 10.1002/aaai.70033 |
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2025 Journal Article An actionability assessment tool for enhancing algorithmic recourse in explainable AISingh, Ronal, Miller, Tim, Sonenberg, Liz, Velloso, Eduardo, Vetere, Frank and Howe, Piers (2025). An actionability assessment tool for enhancing algorithmic recourse in explainable AI. IEEE Transactions on Human-Machine Systems, 55 (4), 519-528. doi: 10.1109/thms.2025.3582285 |
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2025 Journal Article Quality work in the future: new directions via a co-evolving sociotechnical systems perspectiveParker, Sharon K., Ballard, Timothy, Billinghurst, Mark, Collins, Catherine, Dollard, Maureen, Griffin, Mark A., Johal, Wafa, Jorritsma, Karina, Kowalkiewicz, Marek, Kyndt, Eva, Lusher, Dean, McLennan, Char-lee, Miller, Tim, Neal, Andrew, Paterson, Jeannie Marie, Vetere, Frank and Walsh, Toby (2025). Quality work in the future: new directions via a co-evolving sociotechnical systems perspective. Australian Journal of Management, 51 (2), 534-560. doi: 10.1177/03128962251331813 |
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2025 Journal Article Towards Explainable Goal Recognition Using Weight of Evidence (WoE): A Human-Centered ApproachAlshehri, Abeer, Abdulrahman, Amal, Alamri, Hajar, Miller, Tim and Vered, Mor (2025). Towards Explainable Goal Recognition Using Weight of Evidence (WoE): A Human-Centered Approach. Journal of Artificial Intelligence Research, 82, 2535-2594. doi: 10.1613/jair.1.17173 |
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2025 Conference Publication A hypothesis-driven approach to explainable goal recognitionAlshehri, Abeer, Alotaibi, Hissah, Miller, Tim and Vered, Mor (2025). A hypothesis-driven approach to explainable goal recognition. 24th International Conference on Autonomous Agents and Multiagent Systems-AAMAS-Annual, Detroit, MI, United States, 19-23 May 2025. New York, United States: Association for Computing Machinery. |
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2025 Book Chapter MAGIX: a unified framework for the use of XAI in enterprisesSovrano, Francesco and Miller, Tim (2025). MAGIX: a unified framework for the use of XAI in enterprises. Enterprise AI. (pp. 183-209) edited by Shazia Sadiq. Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-032-01940-0_6 |
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2025 Edited Outputs Proceedings of the Second Multimodal, Affective and Interactive eXplainable AI Workshop (MAI-XAI 2025) co-located with the 28th European Conference on Artificial Intelligence 25-30 October 2025 (ECAI 2025)Philipp Cimiano, Fosca Giannotti, Tim Miller, Barbara Hammer, Alejandro Catalá Bolos, Peter Flach and Jose M. Alonso-Moral eds. (2025). Proceedings of the Second Multimodal, Affective and Interactive eXplainable AI Workshop (MAI-XAI 2025) co-located with the 28th European Conference on Artificial Intelligence 25-30 October 2025 (ECAI 2025). Second Multimodal, Affective and Interactive eXplainable AI Workshop (MAI-XAI 2025) co-located with the 28th European Conference on Artificial Intelligence 25-30 October 2025 (ECAI 2025), Bologna, Italy, 25-30 October 2025. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule. |
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2024 Conference Publication Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using EvidenceLe, Thao, Miller, Tim, Sonenberg, Liz and Singh, Ronal (2024). Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence. 27th European Conference on Artificial Intelligence, Santiago de Compostela, Spain, 19–24 October 2024. Amsterdam, Netherlands: IOS Press. doi: 10.3233/faia240571 |
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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, VIC, Australia, 5-9 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3675094.3678997 |
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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 |
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2024 Journal Article Capturing the ghost in the machine: a process for development and validation of measures of phenomenal consciousness in deliriumEeles, 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 |
