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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 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 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 03128962251331813. 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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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 |
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2023 Journal Article Directive explanations for actionable explainability in machine learning applicationsSingh, 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 |
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2023 Journal Article Model tree methods for explaining deep reinforcement learning agents in real-time robotic applicationsGjaerum, 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 |
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2022 Journal Article Efficient multi-agent epistemic planning: teaching planners about nested beliefMuise, 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 |
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2021 Journal Article Modeling communication of collaborative multiagent system under epistemic planningAlshehri, 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 |
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2021 Journal Article Contrastive explanation: a structural-model approachMiller, Tim (2021). Contrastive explanation: a structural-model approach. The Knowledge Engineering Review, 36 e14, 36. doi: 10.1017/s0269888921000102 |
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2020 Journal Article Combining gaze and AI planning for online human intention recognitionSingh, 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. doi: 10.1016/j.artint.2020.103275 |
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2020 Journal Article Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping reviewPayrovnaziri, 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 |
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2020 Journal Article Demand-Driven Transparency for Monitoring Intelligent AgentsVered, 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 |
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2019 Journal Article XAI—Explainable artificial intelligenceGunning, 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 |
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2019 Journal Article Explanation in artificial intelligence: insights from the social sciencesMiller, Tim (2019). Explanation in artificial intelligence: insights from the social sciences. Artificial Intelligence, 267, 1-38. doi: 10.1016/j.artint.2018.07.007 |
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2018 Journal Article Explaining Explanation, Part 4: A Deep Dive on Deep NetsHoffman, Robert, Miller, Tim, Mueller, Shane T., Klein, Gary and Clancey, William J. (2018). Explaining Explanation, Part 4: A Deep Dive on Deep Nets. Ieee Intelligent Systems, 33 (3), 87-95. doi: 10.1109/MIS.2018.033001421 |
