Thao Le

2 accepted papers

2023

Explaining Model Confidence Using Counterfactuals

Thao Le, Tim Miller, Ronal Singh, Liz Sonenberg

AAAI 2023technical

Displaying confidence scores in human-AI interaction has been shown to help build trust between humans and AI systems. However, most existing research uses only the confidence score as a form of communication. As confidence scores are just another model output, users may want to understand why the a…

Cited by 10 Source ↗PDF ↗Scholar ↗

2023

Explaining the Uncertainty in AI-Assisted Decision Making

Thao Le

AAAI 2023technical

The aim of this project is to improve human decision-making using explainability; specifically, how to explain the (un)certainty of machine learning models. Prior research has used uncertainty measures to promote trust and decision-making. However, the direction of explaining why the AI prediction i…

Cited by 1 Source ↗PDF ↗Scholar ↗