Published in Forty-third International Conference on Machine Learning (ICML'26), 2026
Recommended citation: Hawkins, W., Rawal, K., Rystrøm, J., Tsirtsis, S., Fu, Z., Warren, G., Brown, R., Delaney, E., Wachter, S., Mittelstadt, B. & Russell, C. (2026). The Heterogeneous Safety Impacts of Benign Multilingual Fine-Tuning. https://openreview.net/forum?id=5M6NoV6Hs6 https://openreview.net/forum?id=5M6NoV6Hs6
Published in Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL'26), 2026
Recommended citation: Jingyi Sun, Greta Warren, Irina Shklovski, and Isabelle Augenstein. 2026. Explaining Sources of Uncertainty in Automated Fact-Checking. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 45510–45534, San Diego, California, United States. Association for Computational Linguistics. doi:10.18653/v1/2026.acl-long.2110 https://aclanthology.org/2026.acl-long.2110/
Published in Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT'26), 2026
Recommended citation: Greta Warren, Jingyi Sun, Irina Shklovski, and Isabelle Augenstein. 2026. Show me the evidence: Evaluating the role of evidence and natural language explanations in AI-supported fact-checking. In Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency (FAccT '26). Association for Computing Machinery, New York, NY, USA, 4899–4934. https://doi.org/10.1145/3805689.3812358 https://dl.acm.org/doi/abs/10.1145/3805689.3812358
Published in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL'25), 2025
Recommended citation: Nadav Borenstein*, Greta Warren*, Desmond Elliott, and Isabelle Augenstein. Can community notes replace professional fact-checkers? In Wanxiang Che, Joyce Nabende, Ekaterina Shutova, and Mohammad Taher Pilehvar, editors, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 535–552, Vienna, Austria, July 2025. Association for Computational Linguistics. doi:10.18653/v1/2025.acl-short.42 https://aclanthology.org/2025.acl-short.42/
Published in Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, CHI ’25, 2025
Recommended citation: Greta Warren, Irina Shklovski, and Isabelle Augenstein. Show me the work: Fact-checkers’ requirements for explainable automated fact-checking. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, CHI ’25, New York, NY, USA, 2025. Association for Computing Machinery. doi:10.1145/3706598.3713277 https://dl.acm.org/doi/full/10.1145/3706598.3713277
Published in ACM Transactions on Interactive Intelligent Systems (Special Issue on IUI'23 Highlights), 2024
Recommended citation: Recommended citation: Greta Warren, Ruth M. J. Byrne, and Mark T. Keane. Categorical and continuous features in counterfactual explanations of AI systems. ACM Trans. Interact. Intell. Syst., 14(4), December 2024. doi:10.1145/3673907 https://dl.acm.org/doi/full/10.1145/3673907
Published in International Conference on Case-Based Reasoning (ICCBR'24), 2024
Recommended citation: Greta Warren, Eoin Delaney, Christophe Gu ́eret, and Mark T. Keane. Explaining multiple instances counterfactually: User tests of group-counterfactuals for XAI. In Juan A. Recio-Garcia, Mauricio G. Orozco-del Castillo, and Derek Bridge, editors, Case-Based Reasoning Research and Development, pages 206–222, Cham, 2024. Springer Nature Switzerland. doi:10.1007/978-3-031-63646-2_14 https://link.springer.com/chapter/10.1007/978-3-031-63646-2_14
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
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
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
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