- Legal and ethical implications of applications based on agreement technologies: the case of auction-based road intersections
- Is hybrid formal theory of arguments, stories and criminal evidence well suited for negative causation?
- Interactive virtue and vice in systems of arguments: a logocratic analysis
- Appellate Court Modifications Extraction for Portuguese
- Using machine learning to predict decisions of the European Court of Human Rights
- Evidence & decision making in the law: theoretical, computational and empirical approaches
- Taking stock of legal ontologies: a feature-based comparative analysis
- Introduction for artificial intelligence and law: special issue “natural language processing for legal texts”
- Modelling competing legal arguments using Bayesian model comparison and averaging
- Proof beyond a context-relevant doubt. A structural analysis of the standard of proof in criminal adjudication
- When expert opinion evidence goes wrong
- Reasoning with dimensions and magnitudes
- A system of communication rules for justifying and explaining beliefs about facts in civil trials
- Arguing about causes in law: a semi-formal framework for causal arguments
- CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service
- Building a corpus of legal argumentation in Japanese judgement documents: towards structure-based summarisation
- Vertical precedents in formal models of precedential constraint
- An axiomatic characterization of temporalised belief revision in the law
- Semi-automatic knowledge population in a legal document management system
- Deep learning in law: early adaptation and legal word embeddings trained on large corpora
- Judicial analytics and the great transformation of American Law
- Unsupervised and supervised text similarity systems for automated identification of national implementing measures of European directives
- Assessment criteria or standards of proof? An effort in clarification
- Group-to-individual (G2i) inferences: challenges in modeling how the U.S. court system uses brain data
- A new use case for argumentation support tools: supporting discussions of Bayesian analyses of complex criminal cases
- Normative decision analysis in forensic science
- Maintainable process model driven online legal expert systems
- Consistent pathway analysis: a structured analytic method
- The boundaries of legal personhood: how spontaneous intelligence can problematise differences between humans, artificial intelligence, companies and animals
- Semantic types of legal norms in German laws: classification and analysis using local linear explanations
- Introduction to the special issue on legal text analytics
- Eveline T. Feteris: Fundamentals of legal argumentation
- Automated patent landscaping
- Recurrent neural network-based models for recognizing requisite and effectuation parts in legal texts
- Bending the law: geometric tools for quantifying influence in the multinetwork of legal opinions
- On legal contracts, imperative and declarative smart contracts, and blockchain systems
- Automatic semantic edge labeling over legal citation graphs
- Research in progress: report on the ICAIL 2017 doctoral consortium
- RuleRS: a rule-based architecture for decision support systems
- Narration in judiciary fact-finding: a probabilistic explication
- Representing dimensions within the reason model of precedent
- Norms modeling constructs of business process compliance management frameworks: a conceptual evaluation
- The Ethical Knob: ethically-customisable automated vehicles and the law
- Of, for, and by the people: the legal lacuna of synthetic persons
- Introduction to the special issue on machine law
- Do androids dream of normative endorsement? On the fallibility of artificial moral agents
- Using artificial intelligence to support compliance with the general data protection regulation
- Theoretical foundations for the responsibility of autonomous agents
- On the problem of making autonomous vehicles conform to traffic law
- Robot sex and consent: Is consent to sex between a robot and a human conceivable, possible, and desirable?
- On the legal responsibility of autonomous machines
- Norm conflict identification in contracts
- Network approach to the French system of legal codes part II: the role of the weights in a network
- Dynamic epistemic logic of belief change in legal judgments
- Ontology-based information extraction for juridical events with case studies in Brazilian legal realm
- HYPO’S legacy: introduction to the virtual special issue
- On computable numbers with an application to the AlanTuringproblem
- Recognizing cited facts and principles in legal judgements
- Reading agendas between the lines, an exercise
- On the concept of relevance in legal information retrieval
- Data-centric and logic-based models for automated legal problem solving
- Norms and value based reasoning: justifying compliance and violation
- Proof with and without probabilities
- Introduction to the special issue on Artificial Intelligence for Justice (AI4J)
- From Berman and Hafner’s teleological context to Baude and Sachs’ interpretive defaults: an ontological challenge for the next decades of AI and Law
- Accommodating change
- Cognitive computing and proposed approaches to conceptual organization of case law knowledge bases: a proposed model for information preparation, indexing, and analysis
- Special issue in memory of Carole Hafner: editor’s introduction
- Formalizing value-guided argumentation for ethical systems design
- Legal personality of robots, corporations, idols and chimpanzees: a quest for legitimacy
- Eunomos, a legal document and knowledge management system for the Web to provide relevant, reliable and up-to-date information on the law
- A method for explaining Bayesian networks for legal evidence with scenarios
- Contract automata
- A policy-based B2C e-Contract management workflow methodology using semantic web agents
- Detecting tax evasion: a co-evolutionary approach
- 35 years of Multilateral Environmental Agreements ratifications: a network analysis
- Using sensitive personal data may be necessary for avoiding discrimination in data-driven decision models