Thao Le

I am a Postdoctoral Research Associate in the School of Computer Science and Engineering at The University of New South Wales, working on an ARC Discovery Project on developing skilled AI companions.

Prior to this position, I completed my PhD in the School of Computing and Information Systems at The University of Melbourne. My PhD project focused on designing explainable AI-assisted decision-making systems that aim to help users make better decisions.

My research interests lie at the intersection between AI and humans, where I work to incorporate AI models and human psychology.

Selected Publications

[ECAI 2024] Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence
Thao Le, Tim Miller, Liz Sonenberg, Ronal Singh
European Conference on Artificial Intelligence (ECAI). Main Track. Acceptance Rate: 547/2,344 (23%).
Santiago de Compostela. Spain.
[Paper]

Describe and evaluate an approach for hypothesis-driven XAI based on the Weight of Evidence (WoE) framework.

Keywords: XAI, decision-making, hypothesis-driven, evidence, evaluative AI

[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]

Formalise counterfactual explanation of confidence and showing that this explanation can help users better understand and trust the model.

Keywords: uncertainty/confidence, counterfactual explanation, HCI

[JAIR 2021] Goal Recognition for Deceptive Human Agents through Planning and Gaze
Thao Le, Ronal Singh, Tim Miller
Journal of Artificial Intelligence Research. IJCAI 2022 Journal Track.
[Paper]

Present new models for goal recognition under deception using a combination of gaze behaviour and observed movements of the agent.

Keywords: planning, HCI

The original source code of this website is from here.

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Selected Publications