Research Interests
- Explainable AI
- Human-AI Interaction
- AI planning
Selected Publications
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[Arxiv 2024] Towards the new XAI: A Hypothesis-Driven
Approach to Decision Support Using Evidence
Preprint
[Paper]
Describing and evaluating an approach for
hypothesis-driven XAI based on the Weight of Evidence
(WoE) framework.
Keywords: XAI, decision-making, hypothesis-driven,
evidence, evaluative AI
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[AAAI 2023] Explaining Model Confidence Using
Counterfactuals
Thao Le, Tim Miller, Ronal Singh, Liz Sonenberg
Association for the Advancement of Artificial
Intelligence (AAAI). Main Track. Acceptance Rate:
1,721/8,777 (19.6%).
Washington DC, USA.
[Paper]
Formalising counterfactual explanation of confidence and
showing that this explanation can help users better
understand and trust the model.
Keywords: uncertainty/confidence, counterfactual
explanation, HCI
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[JAIR 2021] Goal Recognition for Deceptive Human Agents
through Planning and Gaze
Thao Le, Ronal Singh, Tim Miller
Journal of Artificial Intelligence Research.
[Paper]
Presenting new models for goal recognition under deception
using a combination of gaze behaviour and observed
movements of the agent.
Keywords: planning, HCI
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Peer-Reviewed Workshops/Doctoral Consortia
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[AAAI DC 2023] Explaining the Uncertainty in
AI-Assisted Decision Making
Thao Le
AAAI Doctoral Consortium.
Washington DC, USA.
[Paper]
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[XAI-IJCAI 2022] Improving Model Understanding and
Trust with Counterfactual Explanations of Model
Confidence
Thao Le, Tim Miller, Ronal Singh, Liz Sonenberg
International Joint Conference on Artificial
Intelligence (IJCAI-ECAI). Workshop on Explainable
Artificial Intelligence.
Vienna, Austria.
[Paper]
Academic/Research Experience
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Academic Tutor (Teaching Assistant) -
AI Planning for Autonomy, COMP90054 (Graduate
level)
- S1/S2 2023, S1/2024
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Topics covered: Search algorithms and heuristic
functions, classical (AI) planning, Markov Decision
Processes, reinforcement learning, game theory
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Research Assistant -
AI and Autonomy Lab, The University of Melbourne
- 05/2022
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Project: Cognitive Models Supporting Human-Machine
Partnerships
Academic Service
Selected Awards/Achievements
- Google Conference Grant (2023)
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CIS Nominee for Apple Scholars in AI/ML PhD Fellowships
(2022/2023)
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Melbourne Centre for Data Science (MCDS) Top Up
Scholarship (2022)
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Melbourne Research Scholarship: Full fee offset and
stipend
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Second Prize - Electronic Trading Competition - Jane
Street Capital (2019)
Activities
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Presenter at Australasian Joint Conference on Artificial
Intelligence (AJCAI) Doctoral Consortium - Perth,
Australia - 12/2022
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Participant at FAccT, Innovative Methods for Critical
Studies of Emerging Technologies Workshop - Australian
National University, Canberra - 09/2022
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Final round participant at Melbourne Facebook Hackathon,
Australia - 05/2019
The original source code of this website is from
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