5 citations · 11 across the 7 of their papers we have counts for
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cs.AI2021
Collaborative Human-Agent Planning for Resilience
Ronal Singh, Tim Miller, Darryn Reid
Intelligent agents powered by AI planning assist people in complex scenarios, such as managing teams of semi-autonomous vehicles. However, AI planning models may be incomplete, lea…
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…