Publications

Categorical and continuous features in counterfactual explanations of AI systems

Published in Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Recommended citation: Greta Warren, Ruth M. J. Byrne, and Mark T. Keane. 2023. Categorical and Continuous Features in Counterfactual Explanations of AI Systems. In Proceedings of the 28th International Conference on Intelligent User Interfaces (IUI '23). Association for Computing Machinery, New York, NY, USA, 171–187. https://doi.org/10.1145/3581641.3584090

Better Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI).

Published in Proceedings of 30th International Conference on Case-Based Reasoning, 2022

Recommended citation: Greta Warren, Barry Smyth, and Mark T. Keane. 2022. Better Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI). In Case-Based Reasoning Research and Development: 30th International Conference, ICCBR 2022, Nancy, France, September 12–15, 2022, Proceedings. Springer-Verlag, Berlin, Heidelberg, 63–78. https://doi.org/10.1007/978-3-031-14923-8_5

Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals

Published in IJCAI-23 Workshop on Explainable Artificial Intelligence (XAI), 2022

Recommended citation: Greta Warren, Mark T. Keane, Christophe Gueret, Eoin Delaney. 2023. Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals. IJCAI-23 Workshop on Explainable Artificial Intelligence (XAI), August 21, 2023, Macao, S.A.R. https://drive.google.com/file/d/1_N-r6CkkR9JRynhLEiTqctZGQefVxZns/view?pli=1

Features of Explainability: How Users Understand Counterfactual and Causal Explanations for Categorical and Continuous Features in XAI

Published in IJCAI-ECAI '22 Workshop: Cognitive Aspects of Knowledge Representation, 2022

Recommended citation: Greta Warren, Ruth M. J. Byrne, and Mark T. Keane. 2022. Features of Explainability: How Users Understand Counterfactual and Causal Explanations for Categorical and Continuous Features in XAI. IJCAI-ECAI '22 Workshop: Cognitive Aspects of Knowledge Representation (CAKR'22), July 23–29, 2022, Vienna, Austria. https://ceur-ws.org/Vol-3251/paper1.pdf

Explanation in Human Thinking

Published in Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Recommended citation: Jörg Cassens, Lorenz Habenicht, Julian Blohm, Rebekah Wegener, Joanna Korman, Sangeet Khemlani, Giorgio Gronchi, Ruth M. J. Byrne, Greta Warren, Molly S. Quinn, Mark T. Keane. 2021. Explanation in Human Thinking [Symposium]. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society. https://escholarship.org/content/qt9k6291nk/qt9k6291nk.pdf