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08/25/2023
Diverse, Top-k, and Top-Quality Planning Over Simulators
Diverse, top-k, and top-quality planning are concerned with the generati...
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05/31/2023
Human-centric Literature on Trust for SfTI Veracity Spearhead
This article summarizes the literature on trust of digital technologies ...
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03/20/2023
Deceptive Reinforcement Learning in Model-Free Domains
This paper investigates deceptive reinforcement learning for privacy pre...
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03/10/2023
Explaining Model Confidence Using Counterfactuals
Displaying confidence scores in human-AI interaction has been shown to h...
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03/09/2023
Explainable Goal Recognition: A Framework Based on Weight of Evidence
We introduce and evaluate an eXplainable Goal Recognition (XGR) model th...
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02/24/2023
Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support
In this paper, we argue for a paradigm shift from the current model of e...
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12/08/2022
Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs
Although many machine learning methods, especially from the field of dee...
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11/19/2022
Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models
This paper evaluates whether training a decision tree based on concepts ...
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08/31/2022
Are we measuring trust correctly in explainability, interpretability, and transparency research?
This paper presents an argument for why we are not measuring trust suffi...
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06/06/2022
Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence
In this paper, we show that counterfactual explanations of confidence sc...
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10/06/2021
Efficient Multi-agent Epistemic Planning: Teaching Planners About Nested Belief
Many AI applications involve the interaction of multiple autonomous agen...
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09/07/2021
Modelling Strategic Deceptive Planning in Adversarial Multi-Agent Systems
Deception is virtually ubiquitous in warfare, and should be a central co...
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04/29/2021
Collaborative Human-Agent Planning for Resilience
Intelligent agents powered by AI planning assist people in complex scena...
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04/15/2021
LEx: A Framework for Operationalising Layers of Machine Learning Explanations
Several social factors impact how people respond to AI explanations used...
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02/23/2021
Conceptualising Contestability: Perspectives on Contesting Algorithmic Decisions
As the use of algorithmic systems in high-stakes decision-making increas...
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02/22/2021
Fair and Responsible AI: A Focus on the Ability to Contest
As the use of artificial intelligence (AI) in high-stakes decision-makin...
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02/08/2021
Designing for Contestation: Insights from Administrative Law
A paper presented at the Workshop on Contestability in Algorithmic Syste...
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02/05/2021
Deceptive Reinforcement Learning for Privacy-Preserving Planning
In this paper, we study the problem of deceptive reinforcement learning ...
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02/03/2021
Directive Explanations for Actionable Explainability in Machine Learning Applications
This paper investigates the prospects of using directive explanations to...
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11/15/2020
Good proctor or "Big Brother"? AI Ethics and Online Exam Supervision Technologies
This article philosophically analyzes online exam supervision technologi...
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10/15/2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI
Trust is a central component of the interaction between people and AI, i...
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06/27/2020
Improving Interpretability of CNN Models Using Non-Negative Concept Activation Vectors
Convolutional neural network (CNN) models for computer vision are powerf...
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02/20/2020
Federated pretraining and fine tuning of BERT using clinical notes from multiple silos
Large scale contextual representation models, such as BERT, have signifi...
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01/28/2020
Distal Explanations for Explainable Reinforcement Learning Agents
Causal explanations present an intuitive way to understand the course of...
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10/07/2019
Improving Performance of Multiagent Cooperation Using Epistemic Planning
In most multiagent applications, communication is essential among agents...
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07/29/2019
Let's Make It Personal, A Challenge in Personalizing Medical Inter-Human Communication
Current AI approaches have frequently been used to help personalize many...
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05/27/2019
Explainable Reinforcement Learning Through a Causal Lens
Prevalent theories in cognitive science propose that humans understand a...
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03/28/2019
What you get is what you see: Decomposing Epistemic Planning using Functional STRIPS
Epistemic planning --- planning with knowledge and belief --- is essenti...
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03/05/2019
A Grounded Interaction Protocol for Explainable Artificial Intelligence
Explainable Artificial Intelligence (XAI) systems need to include an exp...
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11/07/2018
Contrastive Explanation: A Structural-Model Approach
The topic of causal explanation in artificial intelligence has gathered ...
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10/30/2018
Emotionalism within People-Oriented Software Design
In designing most software applications, much effort is placed upon the ...
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06/21/2018
Towards a Grounded Dialog Model for Explainable Artificial Intelligence
To generate trust with their users, Explainable Artificial Intelligence ...
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12/02/2017
Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences
In his seminal book `The Inmates are Running the Asylum: Why High-Tech P...
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06/22/2017
Explanation in Artificial Intelligence: Insights from the Social Sciences
There has been a recent resurgence in the area of explainable artificial...
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02/21/2016