[{"content":"Kacper Sokol, James Fackler, Julia E Vogt","permalink":"https://kcpr.me/rsrch/#paper-2025artificial","summary":"","title":"Paper: Artificial intelligence should genuinely support clinical reasoning and decision making to bridge the translational gap"},{"content":"Rafael Poyiadzi, Kacper Sokol, Raul Santos-Rodriguez, Tijl De Bie, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2020face","summary":"","title":"Paper: FACE: Feasible and actionable counterfactual explanations"},{"content":"Kacper Sokol, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2020explainability","summary":"","title":"Paper: Explainability fact sheets: A framework for systematic assessment of explainable approaches"},{"content":"Michaela Benk, Kacper Sokol","permalink":"https://kcpr.me/rsrch/#paper-2026trust","summary":"","title":"Paper: Trust hinders bidirectional human–AI alignment"},{"content":"Edward A Small, Jeffrey N Clark, Christopher J McWilliams, Michael Ambler, Kacper Sokol, Jeffrey Chan, Flora D Salim, Raul Santos-Rodriguez","permalink":"https://kcpr.me/rsrch/#paper-2026counterfactual","summary":"","title":"Paper: Counterfactual explanations via locally-guided sequential algorithmic recourse"},{"content":"Yueqing Xuan, Kacper Sokol, Danula Hettiachchi","permalink":"https://kcpr.me/rsrch/#paper-2026explanation","summary":"","title":"Paper: Explanation navigator: Rectifying out-of-scope human interpretations of leaky AI explanations through conversational guidance"},{"content":"Kateryna Kasianenko, Ashwin Nagappa, Oleg Zendel, Sally Storey, Axel Bruns, Daniel Angus, Kath Albury, Mark Sanderson, Abdul Obeid, Amanda Lawrence, Anand Badola, Chenglong Ma, Ekaterina Tokareva, Fan Yang, Fletcher Scott, Futoon M Abu Shaqra, India Read, Joanne Kuai, Kun Ran, Khanh Luong, Kieran Hegarty, Madhurima Khirbat, Nuha Abu Onq, Rayane El Masri, Sadia Sharmin, Sara Allawati, Shuoqi Sun, Udiana Dewi, Utami Diah Kusumawati, Xinye Wanyan, Yanheng Fang, Awais Hameed Khan, Bogdan Mamaev, Kacper Sokol, Kyle Herbertson, Johanne Trippas, Damiano Spina, Danula Hettiachchi","permalink":"https://kcpr.me/rsrch/#paper-2026hacking","summary":"","title":"Paper: Hacking the \"wicked problems\" of search: A hackathon as a collaborative approach towards capturing query variability"},{"content":"Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan","permalink":"https://kcpr.me/rsrch/#paper-2026diversity","summary":"","title":"Paper: Diversity-augmented negative sampling for implicit collaborative filtering"},{"content":"Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan","permalink":"https://kcpr.me/rsrch/#paper-2025evaluating","summary":"","title":"Paper: Evaluating and addressing fairness across user groups in negative sampling for recommender systems"},{"content":"Raul Santos-Rodriguez, Kacper Sokol, Julia E Vogt, Sven Wellmann","permalink":"https://kcpr.me/rsrch/#paper-2025from","summary":"","title":"Paper: From research to certification with data-driven medical decision support systems (Dagstuhl Seminar 25052)"},{"content":"Ričards Marcinkevičs, Kacper Sokol, Akhil Paulraj, Melinda A Hilbert, Vivien Rimili, Sven Wellmann, Christian Knorr, Bertram Reingruber, Julia E Vogt, Patricia Reis Wolfertstetter","permalink":"https://kcpr.me/rsrch/#paper-2025external","summary":"","title":"Paper: External validation of predictive models for diagnosis, management and severity of pediatric appendicitis"},{"content":"Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan","permalink":"https://kcpr.me/rsrch/#paper-2025perfect","summary":"","title":"Paper: Perfect counterfactuals in imperfect worlds: Modelling noisy implementation of actions in sequential algorithmic recourse"},{"content":"Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan","permalink":"https://kcpr.me/rsrch/#paper-2025leveraging","summary":"","title":"Paper: Leveraging complementary AI explanations to mitigate misunderstanding in XAI"},{"content":"Edward A Small, Wei Shao, Zeliang Zhang, Peihan Liu, Jeffrey Chan, Kacper Sokol, Flora Salim","permalink":"https://kcpr.me/rsrch/#paper-2025how","summary":"","title":"Paper: How robust is your fair model? Exploring the robustness of prominent fairness strategies"},{"content":"Kacper Sokol, Edward Small, Yueqing Xuan","permalink":"https://kcpr.me/rsrch/#paper-2025navigating","summary":"","title":"Paper: Navigating explanatory multiverse through counterfactual path geometry"},{"content":"Kacper Sokol, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2025limetree","summary":"","title":"Paper: LIMEtree: Consistent and faithful surrogate explanations of multiple classes"},{"content":"Kacper Sokol, Santo M A R Thies, Eyke Hüllermeier","permalink":"https://kcpr.me/rsrch/#paper-2025uncertainty","summary":"","title":"Paper: Uncertainty quantification as a principled foundation for explainable artificial intelligence: A case study of counterfactual explanations"},{"content":"Yueqing Xuan, Edward Small, Kacper Sokol, Danula Hettiachchi, Mark Sanderson","permalink":"https://kcpr.me/rsrch/#paper-2025comprehension","summary":"","title":"Paper: Comprehension is a double-edged sword: Over-interpreting unspecified information in intelligible machine learning explanations"},{"content":"Jose M Alonso-Moral, Zach Anthis, Rafael Berlanga, Alejandro Catalá, Philipp Cimiano, Peter Flach, Eyke Hüllermeier, Tim Miller, Dimitry Mindlin, Oana Mitruț, Gabriela Moise, Alin Moldoveanu, Florica Moldoveanu, Kacper Sokol, Aitor Soroa","permalink":"https://kcpr.me/rsrch/#paper-2024preface","summary":"","title":"Paper: Preface of the Proceedings of the MAI-XAI Workshop"},{"content":"Aurora Spagnol, Kacper Sokol, Pietro Barbiero, Marc Langheinrich, Martin Gjoreski","permalink":"https://kcpr.me/rsrch/#paper-2024counterfactual","summary":"","title":"Paper: Counterfactual explanations for clustering models"},{"content":"Kacper Sokol, Meelis Kull, Jeffrey Chan, Flora Salim","permalink":"https://kcpr.me/rsrch/#paper-2024cross","summary":"","title":"Paper: Cross-model fairness: Empirical study of fairness and ethics under model multiplicity"},{"content":"Edward A Small, Kacper Sokol, Daniel Manning, Flora D Salim, Jeffrey Chan","permalink":"https://kcpr.me/rsrch/#paper-2024equalised","summary":"","title":"Paper: Equalised odds is not equal individual odds: Post-processing for group and individual fairness"},{"content":"Andreas Züfle, Flora D Salim, Taylor Anderson, Matthew Scotch, Li Xiong, Kacper Sokol, Hao Xue, Ruochen Kong, David Heslop, Hye-young Paik, Raina MacIntyre","permalink":"https://kcpr.me/rsrch/#paper-2024leveraging","summary":"","title":"Paper: Leveraging simulation data to understand bias in predictive models of infectious disease spread"},{"content":"Kacper Sokol, Julia E Vogt","permalink":"https://kcpr.me/rsrch/#paper-2024what","summary":"","title":"Paper: What does evaluation of explainable artificial intelligence actually tell us? A case for compositional and contextual validation of XAI building blocks"},{"content":"Kacper Sokol, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2024interpretable","summary":"","title":"Paper: Interpretable representations in explainable AI: From theory to practice"},{"content":"Kacper Sokol, Julia E Vogt","permalink":"https://kcpr.me/rsrch/#paper-2023unreasonable","summary":"","title":"Paper: (Un)reasonable allure of ante-hoc interpretability for high-stakes domains: Transparency is necessary but insufficient for comprehensibility"},{"content":"Peter Flach, Kacper Sokol, Jan Wielemaker","permalink":"https://kcpr.me/rsrch/#paper-2023simply","summary":"","title":"Paper: Simply Logical – The first three decades"},{"content":"Edward Small, Yueqing Xuan, Danula Hettiachchi, Kacper Sokol","permalink":"https://kcpr.me/rsrch/#paper-2023helpful","summary":"","title":"Paper: Helpful, misleading or confusing: How humans perceive fundamental building blocks of artificial intelligence explanations"},{"content":"Bernard Keenan, Kacper Sokol","permalink":"https://kcpr.me/rsrch/#paper-2023mind","summary":"","title":"Paper: Mind the gap! Bridging explainable artificial intelligence and human understanding with Luhmann's functional theory of communication"},{"content":"Kacper Sokol","permalink":"https://kcpr.me/rsrch/#paper-2023explainable","summary":"","title":"Paper: eXplainable Machine Learning – USI Course"},{"content":"Kacper Sokol, Alexander Hepburn, Raul Santos-Rodriguez, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2022what","summary":"","title":"Paper: What and how of machine learning transparency: Building bespoke explainability tools with interoperable algorithmic components"},{"content":"Dilini Rajapaksha, Kacper Sokol, Jeffrey Chan, Flora Salim, Mukesh Prasad, Mahendra Samarawickrama","permalink":"https://kcpr.me/rsrch/#paper-2022analysing","summary":"","title":"Paper: Analysing donors' behaviour in non-profit organisations for disaster resilience"},{"content":"Kacper Sokol, Raul Santos-Rodriguez, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2022fat","summary":"","title":"Paper: FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency"},{"content":"Peter Flach, Kacper Sokol","permalink":"https://kcpr.me/rsrch/#paper-2022simply","summary":"","title":"Paper: Simply Logical – Intelligent Reasoning by Example (Fully Interactive Online Edition)"},{"content":"Piotr Romashov, Martin Gjoreski, Kacper Sokol, Vanina Martinez, Marc Langheinrich","permalink":"https://kcpr.me/rsrch/#paper-2022baycon","summary":"","title":"Paper: BayCon: Model-agnostic Bayesian counterfactual generator"},{"content":"Kacper Sokol, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2021explainability","summary":"","title":"Paper: Explainability is in the mind of the beholder: Establishing the foundations of explainable artificial intelligence"},{"content":"Kacper Sokol, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2021you","summary":"","title":"Paper: You only write thrice: Creating documents, computational notebooks and presentations from a single source"},{"content":"Kacper Sokol","permalink":"https://kcpr.me/rsrch/#paper-2021towards","summary":"","title":"Paper: Towards intelligible and robust surrogate explainers: A decision tree perspective"},{"content":"Kacper Sokol, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2020one","summary":"","title":"Paper: One explanation does not fit all: The promise of interactive explanations for machine learning transparency"},{"content":"Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raul Santos-Rodriguez, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2020fat","summary":"","title":"Paper: FAT Forensics: A Python toolbox for implementing and deploying fairness, accountability and transparency algorithms in predictive systems"},{"content":"Kacper Sokol, Alexander Hepburn, Raul Santos-Rodriguez, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2019blimey","summary":"","title":"Paper: bLIMEy: Surrogate prediction explanations beyond LIME"},{"content":"Tom Diethe, Meelis Kull, Niall Twomey, Kacper Sokol, Hao Song, Miquel Perello Nieto, Emma Tonkin, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2019hyperstream","summary":"","title":"Paper: HyperStream: A workflow engine for streaming data"},{"content":"Kacper Sokol, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2019desiderata","summary":"","title":"Paper: Desiderata for interpretability: Explaining decision tree predictions with counterfactuals"},{"content":"Kacper Sokol, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2019counterfactual","summary":"","title":"Paper: Counterfactual explanations of machine learning predictions: Opportunities and challenges for AI safety"},{"content":"Kacper Sokol","permalink":"https://kcpr.me/rsrch/#paper-2019fairness","summary":"","title":"Paper: Fairness, accountability and transparency in artificial intelligence: A case study of logical predictive models"},{"content":"Tom Diethe, Mike Holmes, Meelis Kull, Miquel Perello-Nieto, Kacper Sokol, Hao Song, Emma Tonkin, Niall Twomey, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2018releasing","summary":"","title":"Paper: Releasing eHealth analytics into the wild: Lessons learnt from the SPHERE project"},{"content":"Kacper Sokol, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2018conversational","summary":"","title":"Paper: Conversational explanations of machine learning predictions through class-contrastive counterfactual statements"},{"content":"Kacper Sokol, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2018glass","summary":"","title":"Paper: Glass-Box: Explaining AI decisions with counterfactual statements through conversation with a voice-enabled virtual assistant"},{"content":"Kacper Sokol","permalink":"https://kcpr.me/rsrch/#paper-2017conference","summary":"","title":"Paper: Conference report: International Joint Conference on Artificial Intelligence (IJCAI) 2017"},{"content":"Kacper Sokol, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2017role","summary":"","title":"Paper: The role of textualisation and argumentation in understanding the machine learning process"},{"content":"Kacper Sokol, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2017role-arw","summary":"","title":"Paper: The role of textualisation and argumentation in understanding the machine learning process: A position paper"},{"content":"Kacper Sokol, Peter Flach","permalink":"https://kcpr.me/rsrch/#paper-2016activity","summary":"","title":"Paper: Activity recognition in multiple contexts for smart-house data"},{"content":"Kacper Sokol, Filippo Tilaro, Axel Voitier","permalink":"https://kcpr.me/rsrch/#paper-2014making","summary":"","title":"Paper: Making sense of data streams: Complex event processing for controls applications"}]