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Artificial Intelligence and Law

Artificial Intelligence and Law

Editors-in-Chief: K.D. Ashley; T. Bench-Capon; G. Sartor

ISSN: 0924-8463 (print version)
ISSN: 1572-8382 (electronic version)

Journal no. 10506

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Virtual Special Issue on HYPO

This virtual special issue of AI and Law explores the legacy of the influential HYPO system of Rissland and Ashley. The papers included are: Arguments and cases: An inevitable intertwining, BankXX: Supporting legal arguments through heuristic retrieval, A note on dimensions and factors, An empirical investigation of reasoning with legal cases through theory construction and application, Automatically classifying case texts and predicting outcomes, A factor-based definition of precedential constraint and An improved factor based approach to precedential constraint. After describing HYPO, in this introduction to the special issue I look at various aspects of its influence on AI and Law: the developments led by Rissland at Amherst; the developments led by Ashley in Pittsburgh; the expression of these ideas in terms of rule based systems, and their subsequent formalisation; value based theories, which were inspired by a critique of HYPO; and contemporary approaches which revive the idea of dimensions.
Trever Bench-Capon

Table of Contents - Introduction

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For authors and editors

  • Aims and Scope

    Aims and Scope


    Artificial Intelligence and Law is an international forum for the dissemination of original interdisciplinary research in the following areas:

    • Theoretical or empirical studies in artificial intelligence (AI), cognitive psychology, jurisprudence, linguistics, or philosophy which address the development of formal or computational models of legal knowledge, reasoning, and decision making.
    • In-depth studies of innovative artificial intelligence systems that are being used in the legal domain.
    • Studies which address the legal, ethical and social implications of the field of Artificial Intelligence and Law.
      Topics of interest include, but are not limited to, the following:
    • Computational models of legal reasoning and decision making; judgmental reasoning, adversarial reasoning, case-based reasoning, deontic reasoning, and normative reasoning.
    • Formal representation of legal knowledge: deontic notions, normative
      modalities, rights, factors, values, rules.
    • Jurisprudential theories of legal reasoning.
    • Specialized logics for law.
    • Psychological and linguistic studies concerning legal reasoning.
    • Legal expert systems; statutory systems, legal practice systems, predictive systems, and normative systems.
    • AI and law support for legislative drafting, judicial decision-making, and
      public administration.
    • Intelligent processing of legal documents; conceptual retrieval of cases and statutes, automatic text understanding, intelligent document assembly systems, hypertext, and semantic markup of legal documents.
    • Intelligent processing of legal information on the World Wide Web, legal ontologies, automated intelligent legal agents, electronic legal institutions, computational models of legal texts.
    • Ramifications for AI and Law in e-Commerce, automatic contracting and negotiation, digital rights management, and automated dispute resolution.
    • Ramifications for AI and Law in e-governance, e-government, e-Democracy, and knowledge-based systems supporting public services, public dialogue and mediation.
    • Intelligent computer-assisted instructional systems in law or ethics.
    • Evaluation and auditing techniques for legal AI systems.
    • Systemic problems in the construction and delivery of legal AI systems.
    • Impact of AI on the law and legal institutions.
    • Ethical issues concerning legal AI systems.

    In addition to original research contributions, the Journal will include a Book Review section, a series of Technology Reports describing existing and emerging products, applications and technologies, and a Research Notes section of occasional essays posing interesting and timely research challenges for the field of Artificial Intelligence and Law.

    Financial support for the Journal of Artificial Intelligence and Law is provided by the University of Pittsburgh School of Law.

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