Thao Le

Hi, my name is Thao. I am a PhD Candidate in Explainable AI at The University of Melbourne, advised by Prof Tim Miller (primary supervisor), Prof Liz Sonenberg and Dr Ronal Singh. My research interests lie at the intersection of AI and Human-Computer Interaction (HCI).

My PhD project applies explainable AI techniques to explain the uncertainty of machine learning models. In doing so, we aim to promote trust, improve understanding and improve decision-making for users. I apply mixed methods in my research by using machine learning techniques, running human-subject experiments and doing qualitative/quantitative data analysis.

Previously, I explored the potential for gaze patterns and used this information to adjust the intention recognition model in deception scenarios.

Research Interests

  • Explainability/interpretability
  • Decision making
  • Human-agent interaction
  • Intention/goal recognition
  • Causal inference

news

Jul 1, 2022 Selected as a Doctoral Academy Fellow at Melbourne Centre for Data Science (MCDS) and received a top-up scholarship
Jun 4, 2022 Our paper Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence has been accepted to IJCAI 2022 Workshop on Explainable Artificial Intelligence (XAI)
Apr 20, 2022 Received an invite to present our paper JAIR at IJCAI-ECAI 2022 Journal Track
Aug 3, 2021 Our paper Goal Recognition for Deceptive Human Agents through Planning and Gaze was published in Journal of Artificial Intelligence Research (JAIR)