19 citations · 31 across the 5 of their papers we have counts for
7 papers
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…
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…
Distal Explanations for Model-free Explainable Reinforcement Learning
Prashan Madumal, Tim Miller, Liz Sonenberg +1
In this paper we introduce and evaluate a distal explanation model for model-free reinforcement learning agents that can generate explanations for `why' and `why not' questions. Ou…
Explainable Reinforcement Learning Through a Causal Lens
Prashan Madumal, Tim Miller, Liz Sonenberg +1
Prevalent theories in cognitive science propose that humans understand and represent the knowledge of the world through causal relationships. In making sense of the world, we build…
A Grounded Interaction Protocol for Explainable Artificial Intelligence
Prashan Madumal, Tim Miller, Liz Sonenberg +1
Explainable Artificial Intelligence (XAI) systems need to include an explanation model to communicate the internal decisions, behaviours and actions to the interacting humans. Succ…
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…
Towards a Grounded Dialog Model for Explainable Artificial Intelligence
Prashan Madumal, Tim Miller, Frank Vetere +1
To generate trust with their users, Explainable Artificial Intelligence (XAI) systems need to include an explanation model that can communicate the internal decisions, behaviours a…