Christoph Benzmüller, Xavier Parent & Leendert van der Torre (2020):
Designing normative theories for ethical and legal reasoning: LogiKEy framework, methodology, and tool support.
Artificial Intelligence,
pp. 103348,
doi:10.1016/j.artint.2020.103348.
Richard Berk (2019):
Machine learning risk assessments in criminal justice settings.
Springer,
doi:10.1007/978-3-030-02272-3.
Marc A. Borrelli (1990):
Prolog and the Law: Using Expert Systems to Perform Legal Analysis in the United Kingdom.
Softw. Law J. 3(4),
pp. 687–715,
doi:10.5555/91456.91463.
Nuttawit Butsara, Panchan Athonthitichot & Pichai Jodpimai (2019):
Predicting Recidivism to Drug Distribution using Machine Learning Techniques.
In: 2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE).
IEEE,
pp. 1–5,
doi:10.1109/ICTKE47035.2019.8966834.
Roberta Calegari, Giuseppe Contissa, Francesca Lagioia, Andrea Omicini & Giovanni Sartor (2019):
Defeasible Systems in Legal Reasoning: A Comparative Assessment.
In: Legal Knowledge and Information Systems - JURIX 2019,
Frontiers in Artificial Intelligence and Applications 322.
IOS Press,
pp. 169–174,
doi:10.3233/FAIA190320.
Stefania Costantini, Giovanni De Gasperis & Raffaele Olivieri (2019):
Digital forensics and investigations meet artificial intelligence.
Annals of Mathematics and Artificial Intelligence 86(1-3),
pp. 193–229,
doi:10.1007/s10472-019-09632-y.
Mirna El Ghosh, Hala Naja, Habib Abdulrab & Mohamad Khalil (2017):
Towards a legal rule-based system grounded on the integration of criminal domain ontology and rules.
Procedia CS 112,
pp. 632–642,
doi:10.1016/j.procs.2017.08.109.
Guido Governatori, Antonino Rotolo & Régis Riveret (2018):
A Deontic Argumentation Framework Based on Deontic Defeasible Logic.
In: International Conference on Principles and Practice of Multi-Agent Systems.
Springer,
pp. 484–492,
doi:10.1007/978-3-030-03098-8_33.
Allen Hustler (1982):
Programming law in logic.
Research report CS-82-13, Department of Computer Science, University of Waterloo.
Han-Wei Liu, Ching-Fu Lin & Yu-Jie Chen (2019):
Beyond State v Loomis: artificial intelligence, government algorithmization and accountability.
International Journal of Law and Information Technology 27(2),
pp. 122–141,
doi:10.1093/ijlit/eaz001.
Masha Medvedeva, Michel Vols & Martijn Wieling (2020):
Using machine learning to predict decisions of the European Court of Human Rights.
Artif. Intell. Law 28(2),
pp. 237–266,
doi:10.1007/s10506-019-09255-y.
Jeffrey Alan Meldman (1975):
A preliminary study in computer-aided legal analysis..
Massachusetts Institute of Technology.
William Lloyd Prosser (1941):
Handbook of the Law of Torts.
Louisiana Law Review 4.
Cynthia Rudin (2019):
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.
Nature Machine Intelligence 1(5),
pp. 206–215,
doi:10.1038/s42256-019-0048-x.
Marek J. Sergot, Fariba Sadri, Robert A. Kowalski, F. Kriwaczek, Peter Hammond & H. T. Cory (1986):
The British Nationality Act as a Logic Program.
Commun. ACM 29(5),
pp. 370–386,
doi:10.1145/5689.5920.
Songül Tolan, Marius Miron, Emilia Gómez & Carlos Castillo (2019):
Why machine learning may lead to unfairness: Evidence from risk assessment for juvenile justice in Catalonia.
In: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law,
pp. 83–92,
doi:10.1145/3322640.3326705.
Alessandro Traversi (2014):
La difesa penale. Tecniche argomentative e oratorie.
Giuffrè Editore.
Douglas Walton (2018):
Legal Reasoning and Argumentation.
In: Handbook of Legal Reasoning and Argumentation.
Springer,
pp. 47–75,
doi:10.1007/978-90-481-9452-0_3.
Hajime Yoshino, S Kagayama, S Ohta, M Kitahara, H Kondoh, M Nakakawaji, K Ishimaru & S Takao (1986):
Legal expert system–LES-2.
In: 5th Conference on Logic Programming.
Springer,
pp. 34–45,
doi:10.5555/647633.732885.