Judicial Applications of Artificial Intelligence [electronic resource] /

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.

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Bibliographic Details
Main Authors: Sartor, Giovanni. editor., Branting, Karl. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 1998
Subjects:Computer science., Logic., Political science., Artificial intelligence., Computers., Law and legislation., Law, Law., Computer Science., Legal Aspects of Computing., Philosophy of Law., Theories of Law, Philosophy of Law, Legal History., Artificial Intelligence (incl. Robotics).,
Online Access:http://dx.doi.org/10.1007/978-94-015-9010-5
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record_format koha
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Computer science.
Logic.
Political science.
Artificial intelligence.
Computers.
Law and legislation.
Law
Law.
Computer Science.
Legal Aspects of Computing.
Philosophy of Law.
Theories of Law, Philosophy of Law, Legal History.
Artificial Intelligence (incl. Robotics).
Logic.
Computer science.
Logic.
Political science.
Artificial intelligence.
Computers.
Law and legislation.
Law
Law.
Computer Science.
Legal Aspects of Computing.
Philosophy of Law.
Theories of Law, Philosophy of Law, Legal History.
Artificial Intelligence (incl. Robotics).
Logic.
spellingShingle Computer science.
Logic.
Political science.
Artificial intelligence.
Computers.
Law and legislation.
Law
Law.
Computer Science.
Legal Aspects of Computing.
Philosophy of Law.
Theories of Law, Philosophy of Law, Legal History.
Artificial Intelligence (incl. Robotics).
Logic.
Computer science.
Logic.
Political science.
Artificial intelligence.
Computers.
Law and legislation.
Law
Law.
Computer Science.
Legal Aspects of Computing.
Philosophy of Law.
Theories of Law, Philosophy of Law, Legal History.
Artificial Intelligence (incl. Robotics).
Logic.
Sartor, Giovanni. editor.
Branting, Karl. editor.
SpringerLink (Online service)
Judicial Applications of Artificial Intelligence [electronic resource] /
description 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.
format Texto
topic_facet Computer science.
Logic.
Political science.
Artificial intelligence.
Computers.
Law and legislation.
Law
Law.
Computer Science.
Legal Aspects of Computing.
Philosophy of Law.
Theories of Law, Philosophy of Law, Legal History.
Artificial Intelligence (incl. Robotics).
Logic.
author Sartor, Giovanni. editor.
Branting, Karl. editor.
SpringerLink (Online service)
author_facet Sartor, Giovanni. editor.
Branting, Karl. editor.
SpringerLink (Online service)
author_sort Sartor, Giovanni. editor.
title Judicial Applications of Artificial Intelligence [electronic resource] /
title_short Judicial Applications of Artificial Intelligence [electronic resource] /
title_full Judicial Applications of Artificial Intelligence [electronic resource] /
title_fullStr Judicial Applications of Artificial Intelligence [electronic resource] /
title_full_unstemmed Judicial Applications of Artificial Intelligence [electronic resource] /
title_sort judicial applications of artificial intelligence [electronic resource] /
publisher Dordrecht : Springer Netherlands : Imprint: Springer,
publishDate 1998
url http://dx.doi.org/10.1007/978-94-015-9010-5
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spelling KOHA-OAI-TEST:2200482018-07-30T23:57:22ZJudicial Applications of Artificial Intelligence [electronic resource] / Sartor, Giovanni. editor. Branting, Karl. editor. SpringerLink (Online service) textDordrecht : Springer Netherlands : Imprint: Springer,1998.engThe 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.Introduction: Judicial Applications of Artificial Intelligence -- Automating Judicial Document Drafting: A Discourse-Based Approach -- Criminal Sentencing and Intelligent Decision Support -- The Application of Judicial Intelligence and ‘Rules’ to Systems Supporting Discretionary Judicial Decision-Making -- Modelling Reasoning with Precedents in a Formal Dialogue Game -- The Judge and the Computer: How Best ‘Decision Support’? -- Judicial Decisions and Artificial Intelligence.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.Computer science.Logic.Political science.Artificial intelligence.Computers.Law and legislation.LawLaw.Computer Science.Legal Aspects of Computing.Philosophy of Law.Theories of Law, Philosophy of Law, Legal History.Artificial Intelligence (incl. Robotics).Logic.Springer eBookshttp://dx.doi.org/10.1007/978-94-015-9010-5URN:ISBN:9789401590105