3 papers
cs.HC2024
An Actionability Assessment Tool for Explainable AI
Ronal Singh, Tim Miller, Liz Sonenberg +4
In this paper, we introduce and evaluate a tool for researchers and practitioners to assess the actionability of information provided to users to support algorithmic recourse. Whil…
cs.HC2024
Explainable agency: human preferences for simple or complex explanations
Michelle Blom, Ronal Singh, Tim Miller +3
Research in cognitive psychology has established that whether people prefer simpler explanations to complex ones is context dependent, but the question of `simple vs. complex' beco…
cs.AI2023
Explaining Model Confidence Using Counterfactuals
Thao Le, Tim Miller, Ronal Singh +1
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 scor…