5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 2 cited
LEx: A Framework for Operationalising Layers of Machine Learning Explanations
Ronal Singh, Upol Ehsan, Marc Cheong +2
Several social factors impact how people respond to AI explanations used to justify AI decisions affecting them personally. In this position paper, we define a framework called the…
cs.LG2021★ 5 cited
Directive Explanations for Actionable Explainability in Machine Learning Applications
Ronal Singh, Paul Dourish, Piers Howe +4
This paper investigates the prospects of using directive explanations to assist people in achieving recourse of machine learning decisions. Directive explanations list which specif…
cs.AI2018
Interaction Design for Explainable AI: Workshop Proceedings
Prashan Madumal, Ronal Singh, Joshua Newn +1
As artificial intelligence (AI) systems become increasingly complex and ubiquitous, these systems will be responsible for making decisions that directly affect individuals and soci…