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02/01/2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI
Explainable AI (XAI) systems are sociotechnical in nature; thus, they ar...
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11/12/2022
Seamful XAI: Operationalizing Seamful Design in Explainable AI
Mistakes in AI systems are inevitable, arising from both technical limit...
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11/11/2022
Social Construction of XAI: Do We Need One Definition to Rule Them All?
There is a growing frustration amongst researchers and developers in Exp...
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06/03/2022
The Algorithmic Imprint
When algorithmic harms emerge, a reasonable response is to stop using th...
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09/26/2021
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
To make Explainable AI (XAI) systems trustworthy, understanding harmful ...
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07/28/2021
The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations
Explainability of AI systems is critical for users to take informed acti...
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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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01/12/2021
Expanding Explainability: Towards Social Transparency in AI systems
As AI-powered systems increasingly mediate consequential decision-making...
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02/04/2020
Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach
Explanations–a form of post-hoc interpretability–play an instrumental ro...
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01/11/2019
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions
Automated rationale generation is an approach for real-time explanation ...
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07/26/2017
Guiding Reinforcement Learning Exploration Using Natural Language
In this work we present a technique to use natural language to help rein...
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02/25/2017
