Pompeu Casanovas

Monica Palmirani

Giovanni Sartor

Ugo Pagallo

This book constitutes revised selected papers from the two International Workshops on Artificial Intelligence Approaches to the Complexity of Legal Systems, AICOL IV and AICOL V, held in 2013. The first took place as part of the 26th IVR Congress in Belo Horizonte, Brazil, during July 21-27, 2013; the second was held in Bologna as a joint special workshop of JURIX 2013 on December 11, 2013. The 19 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They are organized in topical sections named: social intelligence and legal conceptual models; legal theory, normative systems and software agents; semantic Web technologies, legal ontologies and argumentation; and crowdsourcing and online dispute resolution (ODR).

AICOL 2013 International Workshops, AICOL-IV@IVR, Belo Horizonte, Brazil, July 21-27, 2013 and AICOL-V@SINTELNET-JURIX, Bologna, Italy, December 11, 2013, Revised Selected Papers

AI Approaches to the Complexity of Legal Systems

Karl Branting

L. Karl Branting

The judiciary is in the early stages of a transformation in which AI (Artificial Intelligence) technology will help to make the judicial process faster, cheaper, and more predictable without compromising the integrity of judges' discretionary reasoning. Judicial decision-making is an area of daunting complexity, where highly sophisticated legal expertise merges with cognitive and emotional competence. How can AI contribute to a process that encompasses such a wide range of knowledge, judgment, and experience? Rather than aiming at the impossible dream (or nightmare) of building an automatic judge, AI research has had two more practical goals: producing tools to support judicial activities, including programs for intelligent document assembly, case retrieval, and support for discretionary decision-making; and developing new analytical tools for understanding and modeling the judicial process, such as case-based reasoning and formal models of dialectics, argumentation, and negotiation. Judges, squeezed between tightening budgets and increasing demands for justice, are desperately trying to maintain the quality of their decision-making process while coping with time and resource limitations. Flexible AI tools for decision support may promote uniformity and efficiency in judicial practice, while supporting rational judicial discretion. Similarly, AI may promote flexibility, efficiency and accuracy in other judicial tasks, such as drafting various judicial documents. The contributions in this volume exemplify some of the directions that the AI transformation of the judiciary will take.

Judicial Applications of Artificial Intelligence

Michał Araszkiewicz

Víctor Rodríguez-Doncel

Pompeu Casanovas Romeu

This book includes revised selected papers from the International Workshops on AI Approaches to the Complexity of Legal Systems, AICOL-XI@JURIX2018, held in Groningen, The Netherlands, on December 12, 2018; AICOL-XII@JURIX 2020, held in Brno, Czechia, on December 9, 2020; XAILA@JURIX 2020, held in in Brno, Czechia, on December 9, 2020.* The 17 full and 4 short papers included in this volume were carefully reviewed and selected form 39 submissions. They represent a comprehensive picture of the state of the art in legal informatics. The papers are logically organized in 5 blocks: Knowledge Representation; Logic, rules, and reasoning; Explainable AI in Law and Ethics; Law as Web of linked Data and the Rule of Law; Data protection and Privacy Modelling and Reasoning. *Due to the Covid-19 pandemic AICOL-XII@JURIX 2020 and XAILA@JURIX 2020 were held virtually.

AICOL International Workshops 2018 and 2020: AICOL-XI@JURIX 2018, AICOL-XII@JURIX 2020, XAILA@JURIX 2020, Revised Selected Papers

AI Approaches to the Complexity of Legal Systems XI-XII

Enrico Francesconi

From its very beginning, legal informatics was mostly limited to the study of legal databases, but very early on, the Institute of Legal Information Theory and Techniques (ITTIG) started being involved with the specific topic of the Jurix conference, namely knowledge-based systems. This book includes programmatic papers with precise accounts of applications and prototypes. In many domains the focus has changed. For instance, research in retrieval has moved from classical Boolean systems into the management of documents in the Web. It addresses in particular standards and methods for embedding machine readable information into such documents and search methods that deal with heterogeneous information. Similarly, with regard to legal concepts, the focus has moved from thesauri to ontologies or to techniques for the automatic extraction of concepts from natural language texts. In the domain of legal reasoning merely deductive inferences have been expanded with models of legal argumentation, dialogue and mediation. The conference Logica, informatica e diritto 1981 and Jurix 2008 share the connection between theoretical models and the development of applications and prototypes. However, while in 1981 one could mostly see a juxtaposition of papers in legal theory and papers in computer applications, in 2008 we can see how discussions of issues in legal theory are embedded within contributions to legal informatics. This shows how research in legal informatics is increasingly becoming an autonomous domain of scientific inquiry by creatively incorporating and developing knowledge and methods from the two disciplines from which it originates (legal theory and computer science), while preserving links with them.

JURIX 2008: the Twentieth First Annual Conference

Legal Knowledge and Information Systems

H. Prakken

In the study of forms of legal reasoning, logic and argumentation theory long followed separate tracks. `Legal logicians' tended to focus on a deductive reconstruction of justifying a decision, disregarding the dialectical process leading to the chosen justification. Others instead emphasized the adversarial and discretionary nature of legal reasoning, involving reasonable evaluation of alternative choices, and the use of analogical reasoning. Recently, however, developments in Artificial Intelligence and Law have paved the way for overcoming this separation. Logic has widened its scope to defensible argumentation, and informal accounts of analogy and dialectics have inspired the construction of computer programs. Thus the prospect is emerging of an integrated logical and dialectical account of legal argument, adding to the understanding of legal reasoning, and providing a formal basis for computer tools that assist and mediate legal debates while leaving room for human initiative. This book presents contributions to this development. From a logical point of view it covers topics such as evaluating conflicting arguments, weighing reasons, modelling legal disputes as a dialogue game, the role of the burden of proof, the relation between principles, rules, reasons and facts, and the relation between deductive and nondeductive arguments. Written by leading scholars in the field and building on recent developments in logic and Artificial Intelligence, the chapters provide a state-of-the-art account of research on the logical aspects of legal argument.

Logical Models of Legal Argumentation

Douglas Walton

Fabrizio Macagno

Combining pragmatics, dialectics, analytics, and legal theory, this work translates interpretative canons into patterns of natural argument.

Pragmatics and Argumentation

Statutory Interpretation

Statutory interpretation involves the reconstruction of the meaning of a legal statement when it cannot be considered as accepted or granted. This phenomenon needs to be considered not only from the legal and linguistic perspective, but also from the argumentative one - which focuses on the strategies for defending a controversial or doubtful viewpoint. This book draws upon linguistics, legal theory, computing, and dialectics to present an argumentation-based approach to statutory interpretation. By translating and summarizing the existing legal interpretative canons into eleven patterns of natural arguments - called argumentation schemes - the authors offer a system of argumentation strategies for developing, defending, assessing, and attacking an interpretation. Illustrated through major cases from both common and civil law, this methodology is summarized in diagrams and maps for application to computer sciences. These visuals help make the structures, strategies, and vulnerabilities of legal reasoning accessible to both legal professionals and laypeople.

Hans-W. Micklitz

Giovanni De Gregorio

Andrea Simoncini

Oreste Pollicino

Amnon Reichman

New technologies have always challenged the social, economic, legal, and ideological status quo. Constitutional law is no less impacted by such technologically driven transformations, as the state must formulate a legal response to new technologies and their market applications, as well as the state's own use of new technology. In particular, the development of data collection, data mining, and algorithmic analysis by public and private actors present unique challenges to public law at the doctrinal as well as the theoretical level. This collection, aimed at legal scholars and practitioners, describes the constitutional challenges created by the algorithmic society. It offers an important synthesis of the state of play in law and technology studies, addressing the challenges for fundamental rights and democracy, the role of policy and regulation, and the responsibilities of private actors. This title is also available as Open Access on Cambridge Core.

Constitutional Challenges in the Algorithmic Society

Antonino Rotolo

Giorgio Bongiovanni

Chiara Valentini

Gerald Postema

This handbook addresses legal reasoning and argumentation from a logical, philosophical and legal perspective. The main forms of legal reasoning and argumentation are covered in an exhaustive and critical fashion, and are analysed in connection with more general types (and problems) of reasoning. Accordingly, the subject matter of the handbook divides in three parts. The first one introduces and discusses the basic concepts of practical reasoning. The second one discusses the general structures and procedures of reasoning and argumentation that are relevant to legal discourse. The third one looks at their instantiations and developments of these aspects of argumentation as they are put to work in the law, in different areas and applications of legal reasoning.

Handbook of Legal Reasoning and Argumentation

Gianmaria Ajani

The inspiring idea of this workshop series, Artificial Intelligence Approaches to the Complexity of Legal Systems (AICOL), is to develop models of legal knowledge, concerning organization, structure and content, in order to promote mutual understanding and communication between different systems and cultures. Complexity and complex systems describe recent developments in AI and law, legal theory, argumentation, the Semantic Web, and multi-agent systems. The aim of the AICOL workshops is thus to offer effective support for the exchange of knowledge and methodological approaches between scholars from different scientific fields, by highlighting their similarities and differences. The comparison of multiple formal approaches to the law (such as logical models, cognitive theories, argumentation frameworks, graph theory, game theory), as well as opposite perspectives like internal and the external viewpoints, this volume stresses possible convergences, as, for instance, are possible in the realms of conceptual structures, argumentation schemes, emergent behaviors, learning evolution, adaptation, and simulation. This volume assembles 15 thoroughly refereed and revised papers, selected from two workshops organized at the XXIV World Congress of Philosophy of Law and Social Philosophy (IVR, Beijing, China, September 15-20, 2009) and at JURIX-09 (December 16-19, 2009, Rotterdam). The papers are organized in topical sections on language and complex systems in law, ontologies and the representation of legal knowledge, argumentation and logics, as well as dialogue and legal multimedia.

International Workshops AICOL-I/IVR-XXIV, Beijing, China, September 19, 2009 and AICOL-II/JURIX 2009, Rotterdam, The Netherlands, December 16, 2009 Revised Selected Papers

Corso di informatica giuridica

L'informatica giuridica e le tecnologie dell'informazione

The inspiring idea of this workshop series, Artificial Intelligence Approaches to the Complexity of Legal Systems (AICOL), is to develop models of legal knowledge concerning organization, structure, and content in order to promote mutual understanding and communication between different systems and cultures. Complexity and complex systems describe recent developments in AI and law, legal theory, argumentation, the Semantic Web, and multi-agent systems. Multisystem and multilingual ontologies provide an important opportunity to integrate different trends of research in AI and law, including comparative legal studies. Complexity theory, graph theory, game theory, and any other contributions from the mathematical disciplines can help both to formalize the dynamics of legal systems and to capture relations among norms. Cognitive science can help the modeling of legal ontology by taking into account not only the formal features of law but also social behaviour, psychology, and cultural factors. This book is thus meant to support scholars in different areas of science in sharing knowledge and methodological approaches. This volume collects the contributions to the workshop's third edition, which took place as part of the 25th IVR congress of Philosophy of Law and Social Philosophy, held in Frankfurt, Germany, in August 2011. This volume comprises six main parts devoted to the each of the six topics addressed in the workshop, namely: models for the legal system ethics and the regulation of ICT, legal knowledge management, legal information for open access, software agent systems in the legal domain, as well as legal language and legal ontology.

International Workshop AICOL-III, Held as Part of the 25th IVR Congress, Frankfurt am Main, Germany, August 15-16, 2011. Revised Selected Papers

AI Approaches to the Complexity of Legal Systems - Models and Ethical Challenges for Legal Systems, Legal Language and Legal Ontologies, Argumentation and Software Agents

Giovanni Sartor

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