How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies. - Edward Small; Wei Shao 006; Zeliang Zhang; Peihan Liu; Jeffrey Chan; Kacper Sokol; Flora D. Salim (CoRR, 2022)

Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations. - Edward Small; Yueqing Xuan; Danula Hettiachchi; Kacper Sokol (CoRR, 2023)

An Analysis of Physics-Informed Neural Networks. - Edward Small (CoRR, 2023)

Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse. - Edward A. Small; Jeffrey N. Clark; Christopher J. McWilliams; Kacper Sokol; Jeffrey Chan; Flora D. Salim; Raúl Santos-Rodríguez (CoRR, 2023)

Can Users Correctly Interpret Machine Learning Explanations and Simultaneously Identify Their Limitations? - Yueqing Xuan; Edward Small; Kacper Sokol; Danula Hettiachchi; Mark Sanderson (CoRR, 2023)

Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways. - Michelle W. L. Wan; Jeffrey N. Clark; Edward A. Small; Elena Fillola Mayoral; Raúl Santos-Rodríguez (CoRR, 2023)

Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness. - Edward Small; Kacper Sokol; Daniel Manning; Flora D. Salim; Jeffrey Chan (FAccT, 2024)

TraCE: Trajectory Counterfactual Explanation Scores. - Jeffrey Nicholas Clark; Edward Alexander Small; Nawid Keshtmand; Michelle Wing Lam Wan; Elena Fillola Mayoral; Enrico Werner; Christopher P. Bourdeaux; Raúl Santos-Rodríguez (NLDL, 2024)

Comprehension is a double-edged sword: Over-interpreting unspecified information in intelligible machine learning explanations. - Yueqing Xuan; Edward Small; Kacper Sokol; Danula Hettiachchi; Mark Sanderson (Int. J. Hum. Comput. Stud., 2025)

Navigating explanatory multiverse through counterfactual path geometry. - Kacper Sokol; Edward Small; Yueqing Xuan (Mach. Learn., 2025)

How robust is your fair model? Exploring the robustness of prominent fairness strategies. - Edward A. Small; Wei Shao 006; Zeliang Zhang; Peihan Liu; Jeffrey Chan; Kacper Sokol; Flora D. Salim (Data Min. Knowl. Discov., 2025)