215 citations · 277 across the 14 of their papers we have counts for
8 papers · 1 filter
From Evidence to Decision: Exploring Evaluative AI
Thao Le, Tim Miller, Liz Sonenberg +2
This paper presents a hypothesis-driven approach to improve AI-supported decision-making that is based on the Evaluative AI paradigm - a conceptual framework that proposes providin…
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…
Efficient Multi-agent Epistemic Planning: Teaching Planners About Nested Belief
Christian Muise, Vaishak Belle, Paolo Felli +4
Many AI applications involve the interaction of multiple autonomous agents, requiring those agents to reason about their own beliefs, as well as those of other agents. However, pla…
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…
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…
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…