Publications Policelab AI
2024
D. Craandijk & F. Bex (2024) Effects of Graph Neural Network Aggregation Functions on Generalizability for Solving Abstract Argumentation Semantics. Proceedings of the 5th International Workshop on Systems and Algorithms for Formal Argumentation (SAFA 2024).
J. Peters, F. Bex & H. Prakken (2024) Arguments based on domain rules in prediction justifications. Proceedings of the 24th Workshop on Computational Models of Natural Argument (CMNA 2024).
R. Scheffers, F. Bex & A. Borg (2024) Related Explanations in Formal Argumentation, an Empirical Study. Computational Models of Argument. Proceedings of COMMA 2024, Frontiers in Artificial Intelligence and Applications. [PDF]
E. Herrewijnen, D. Nguyen, F. Bex & K. van Deemter (2024) Human-annotated rationales and explainable text classification: a survey. Frontiers in Artificial Intelligence. [PDF]
M. Blaauw, J. Peters, F. Bex & I. van de Weerd (2024) Orchestrating Sensemaking: Investigating the Sensemaking Processes and its Enablers at the Dutch Police. Proceedings of the 32nd European Conference on Information Systems (ECIS 2024), to appear. [PDF]
Borg & F. Bex (2024) Minimality, necessity and sufficiency for argumentation and explanation. International Journal of Approximate Reasoning, 168. [PDF]
F. Bex (2024) Transdisciplinary Research as a Way Forward in AI & Law. Journal of Cross-disciplinary Research in Computational Law (CRCL), 2:2. [PDF]
F. Bex (2024) AI, Law and beyond - A Transdisciplinary Ecosystem for the Future of AI & Law. Presidential address to the 19th International Conference on Artificial Intelligence and Law (ICAIL 2023). Artificial Intelligence and Law, Online first. [PDF]
2023
D. Odekerken, F. Bex & H.Prakken (2023) Precedent-Based Reasoning with Incomplete Cases. Legal Knowledge and Information Systems. JURIX 2023: The Thirty-sixth Annual Conference. Frontiers in Artificial Intelligence and Applications 379, pp. 33-42, IOS Press. [PDF]
Odekerken, D., Lehtonen, T., Borg, A., Wallner, J.P. & Järvisalo, M. (2023). Argumentative Reasoning in ASPIC+ under Incomplete Information (pdf, 244kb). Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR'23). Supplement.
Odekerken, D., Borg, A. & Berthold, M. (2023). Accessible Algorithms for Applied Argumentation (pdf, 5.1mb). First International Workshop on Argumentation and Applications (App&Arg'23). Source code Visual Interface Documentation
M. Robeer, F. Bex, A. Feelders & H. Prakken (2023), Explaining Model Behavior with Global Causal Analysis (pdf, 850kb). Proceedings of the 1st World Conference on eXplainable Artificial Intelligence (xAI 2023).
Testerink, B., Nieuwenhuizen, E. N., & Bex, F. J. (2023). Wat doet het ertoe dat je een mens bent? Autonome AI systemen voor de politie (pdf, 281kb). Cahiers Politiestudies.
I. Fest, M. Schäfer, J. van Dijk & A. Meijer (2023), Understanding Data Professionals in the Police: A Qualitative Study of System-Level Bureaucrats (pdf, 846kb). Public Management Review.
E. Herrewijnen & D. Craandijk. Towards Meaningful Paragraph Embeddings for Data-Scarce Domains: A Case Study in the Legal Domain (pdf, 1.1mb). Proceedings of the 6th Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2023).
J. Peters, F. Bex & H. Prakken (2023) Model- and data-agnostic justifications with A Fortiori Case-Based Argumentation (pdf, 839 kb). Proceedings of the 19th International Conference on Artificial Intelligence and Law (ICAIL'23).
Odekerken, D., Bex, F., & Prakken, H. (2023). Justification, Stability and Relevance for Case-based Reasoning with Incomplete Focus Cases (pdf, 632kb). Proceedings of the 19th International Conference on Artificial Intelligence and Law (ICAIL'23). Implementation and Demo Extended version with full proofs
F. Selten, M. Robeer & S. Grimmelikhuijsen (2023), ‘Just like I thought’: Street-level bureaucrats trust AI recommendations if they confirm their professional judgment (pdf, 1.9mb). Public Administration Review.
2022
I. Fest, B. Wagner & M. Wieringa (2022) Paper vs. practice: How legal and ethical frameworks influence public sector data professionals in the Netherlands (pdf, 882 kb). Patterns.
I. Fest, B. Wagner & M. Wieringa (2022) People of Data: Responsible data science is a responsibility for all (pdf, 294 kb). Patterns.
D. Odekerken, F. Bex, A. Borg & B. Testerink (2022) Approximating Stability for Applied Argument-based Inquiry (pdf, 1.22 mb). Intelligent Systems with Applications.
Odekerken, D. (2022). Justification, Stability and Relevance for Transparent and Efficient Human-in-the-Loop Decision Support (pdf, 379kb). In Online Handbook of Argumentation for AI, Vol. 3.
D. Craandijk & F. Bex (2022) EGNN: A Deep Reinforcement Learning Architecture for Enforcement Heuristics (pdf, 107 kb). Proceedings of the ninth International Conference on Computational Models of Argument (COMMA’22).
A. Borg & D. Odekerken (2022) PyArg for Solving and Explaining Argumentation in Python: Demonstration (pdf, 240 kb). Proceedings of the ninth International Conference on Computational Models of Argument (COMMA’22). GitHub Visualization
D. Odekerken, A. Borg & F. Bex (2022) Stability and Relevance in Incomplete Argumentation Frameworks (pdf, 270 kb). Proceedings of the ninth International Conference on Computational Models of Argument (COMMA’22).
J. Peters, F. Bex & H. Prakken (2022) Justifications Derived from Inconsistent Case Bases Using Authoritativeness (pdf, 1.16 mb). Proceedings of the 1st International Workshop on Argumentation for eXplainable AI (ArgXAI, co-located with COMMA ’22).
A. Borg & F. Bex (2022) Contrastive Explanations for Argumentation-Based Conclusions (pdf, 234 kb). Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022).
D. Craandijk & F. Bex (2022) Enforcement Heuristics for Argumentation with Deep Reinforcement Learning (pdf, 136 kb). Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022).
R. Wieten, F. Bex, H. Prakken & S. Renooij (2022) Deductive and abductive argumentation based on information graphs (pdf, 1.71 mb). Argument & Computation.
2021
A. Borg & F. Bex (2021) Explaining Arguments at the Dutch National Police (pdf, 332 kb). AI Approaches to the Complexity of Legal Systems XI-XII (AICOL 2021).
M. Robeer, F. Bex & A. Feelders (2021) Generating Realistic Natural Language Counterfactuals (pdf, 700 kb). Findings of the Association for Computational Linguistics: EMNLP 2021.
A. Borg & F. Bex (2021) Enforcing Sets of Formulas in Structured Argumentation (pdf, 287 kb). Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning (KR 2021).
A. Borg & F. Bex (2021) Necessary and Sufficient Explanations for Argumentation-Based Conclusions (pdf, 373 kb). Proceedings of the 16th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2021).
R. Wieten, F. Bex, H. Prakken & S. Renooij (2021) Information graphs and their use for Bayesian network graph construction (pdf, 1.7 mb). International Journal of Approximate Reasoning.
A. Borg & F. Bex (2021) A Basic Framework for Explanations in Argumentation (pdf, 358 kb). IEEE Intelligent Systems. Appendix (pdf, 218 kb)
E. Herrewijnen, D. Nguyen, J. Mense & F. Bex (2021) Machine-annotated Rationales: Faithfully Explaining Text Classification (pdf, 195 kb). Proceedings for the Explainable Agency in AI Workshop at the 35th AAAI Conference on Artificial Intelligence.
2020
J. Peters & F. Bex (2020) Towards a Story Scheme Ontology of Terrorist MOs (pdf, 391 kb). Proceedings of the 2020 IEEE International Conference on Intelligence and Security Informatics (ISI 2020).
D. Odekerken & F. Bex (2020) Towards transparent human-in-the-loop classification of fraudulent web shops (pdf, 163 kb). International Conference on Legal Knowledge and Information Systems (JURIX 2020).
D. Odekerken, A. Borg & F. Bex (2020) Estimating Stability for Efficient Argument-Based Inquiry (pd, 306 kb). International Conference on Computational Models of Argument (COMMA 2020). Additional material (including proofs and demo)
R. Wieten, F. Bex, H. Prakken & Silja Renooij (2020) Deductive and Abductive Reasoning with Causal and Evidential Information (pdf, 425 kb). International Conference on Computational Models of Argument (COMMA 2020).
D. Craandijk & F. Bex (2020) AGNN: A Deep Learning Architecture for Abstract Argumentation Semantics (pdf, 110 kb). International Conference on Computational Models of Argument (COMMA 2020).
D. Craandijk & F. Bex (2020) Deep Learning for Abstract Argumentation Semantics (pdf, 127 kb). International Joint Conference on Artificial Intelligence (IJCAI 2020).
Araszkiewicz, M., Amantea, I. A., Chakravarty, S., van Doesburg, R., Dymitruk, M., Garin, M., Gilpin, L., Odekerken, D., & Salehi, S. S. (2020). Natural-language Inquiry Dialogue in the Law-Enforcement Domain (pdf, 267kb). ICAIL Doctoral Consortium, Montreal 2019. Artificial Intelligence and Law.
2019
M. van den Hurk & F. Dignum (2019) Towards fundamental models of radicalization (pdf, 497 kb). Social Simulation Conference (SSC 2019).
N. Eijsvogel & M. Schraagen (2019) Revision Classification for Current Events in Dutch Wikipedia using a Long Short-term Memory Network (pdf, 211 kb). Benelux Conference on Machine Learning (BENELEARN).
R. Wieten, F. Bex, H. Prakken, & S. Renooij. (2019) Constructing Bayesian network graphs from labeled arguments (pdf, 414 kb). 15th European Conference on European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2019).
B. Testerink, D. Odekerken & F. Bex (2019) A Method for Efficient Argument-based Inquiry (pdf, 444 kb). 13th International Conference on Flexible Query Answering Systems (FQAS 2019).
R. Wieten, F. Bex, H. Prakken, & S. Renooij. (2019) Supporting Discussions About Forensic Bayesian Networks (pdf, 1.26 mb). 17th International Conference on Artificial Intelligence and Law (ICAIL 2019).
B. Testerink, D. Odekerken & F. Bex (2019) AI-assisted message processing for the Netherlands National Police (pdf, 3.61 mb). ICAIL 2019 Workshop on AI and the Administrative State (AIAS 2019), CEUR workshop proceedings.
M. Schraagen & F. Bex (2019) Extraction of semantic relations in noisy user-generated law enforcement data (pdf, 163 kb). 13th IEEE International Conference on Semantic Computing.
M. Schraagen, B. Testerink, D. Odekerken & F. Bex (2019), Argumentation-driven information extraction for online crime reports (pdf, 381 kb). CIKM 2018 Workshops, CEUR workshop proceedings.
2018
R. Wieten, F. Bex, H. Prakken, & S. Renooij. (2018) Exploiting causality in constructing Bayesian network graphs from legal arguments (pdf, 500 kb). 21st International Conference on Legal Knowledge and Information Systems (JURIX 2018).
2017
W. Kos, M. Schraagen, M. Brinkhuis & F. Bex (2017) Classification in a Skewed Online Trade Fraud Complaint Corpus (pdf, 579 kb). Preproceedings of The 29th Benelux Conference on Artificial Intelligence (BNAIC 2017).
B. Testerink & F. Bex (2017) Specifications for peer-to-peer argumentation dialogues (pdf, 356 kb). In Proceedings of the 20th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2017).
B. Testerink & F. Bex (2017) Developing Argumentation Dialogues for Open Multi-Agent Systems (pdf, 526 kb). Demo at the 20th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2017).
M. Schraagen, M. Brinkhuis & F. Bex (2017) Evaluation of Named Entity Recognition in Dutch online criminal complaints (pdf, 278 kb). Computational Linguistics in the Netherlands Journal.
2016
F. Bex, B. Testerink & J. Peters (2016) A.I. for Online Criminal Complaints: From Natural Dialogues to Structured Scenarios (pdf, 643 kb). ECAI 2016 workshop on Artificial Intelligence for Justice.