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Intelligent Computer Evaluation of Offender’s Previous Record

Intelligent Computer Evaluation of Offender’s Previous Record This paper considers the problem of how to evaluate an offender’s criminal record. This evaluation is part of the sentencing process carried out by a judge, and may be complicated in the case of offenders with a heavy record. We give a comprehensive overview of the approach to an offender’s past record in various (Western) countries, considering the two major approaches: desert-based and utilitarian. The paper describes the determination of the parameters involved in the evaluation, and the construction of a decision support system to be used by a judge about to pass sentence in a criminal case. The system may be used as a stand-alone system, but can also be integrated as a component of a general sentencing support system, e.g. a statistical sentencing information system. The system is a knowledge-based system. The knowledge base (in rule-form) was created primarily by eliciting knowledge from experts (judges, lawyers, academics and probation officers), but also by applying statutory law, case law and legal authoritative texts. It is flexible in the sense, that a user can introduce his1 own preferences (expressed as numerical coefficients) and thereby apply different sentencing principles. The prototype is at present undergoing testing by some of the participating judges. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence and Law Springer Journals

Intelligent Computer Evaluation of Offender’s Previous Record

Schild, Uri; Kannai, Ruth
Artificial Intelligence and Law , Volume 13 (4) – Jun 12, 2006
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33 pages

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Publisher
Springer Journals
Copyright
Copyright © 2006 by Springer
Subject
Computer Science; Artificial Intelligence (incl. Robotics); International IT and Media Law, Intellectual Property Law; Philosophy of Law; Legal Aspects of Computing; Information Storage and Retrieval
ISSN
0924-8463
eISSN
1572-8382
DOI
10.1007/s10506-005-5793-y
Publisher site
See Article on Publisher Site

Abstract

This paper considers the problem of how to evaluate an offender’s criminal record. This evaluation is part of the sentencing process carried out by a judge, and may be complicated in the case of offenders with a heavy record. We give a comprehensive overview of the approach to an offender’s past record in various (Western) countries, considering the two major approaches: desert-based and utilitarian. The paper describes the determination of the parameters involved in the evaluation, and the construction of a decision support system to be used by a judge about to pass sentence in a criminal case. The system may be used as a stand-alone system, but can also be integrated as a component of a general sentencing support system, e.g. a statistical sentencing information system. The system is a knowledge-based system. The knowledge base (in rule-form) was created primarily by eliciting knowledge from experts (judges, lawyers, academics and probation officers), but also by applying statutory law, case law and legal authoritative texts. It is flexible in the sense, that a user can introduce his1 own preferences (expressed as numerical coefficients) and thereby apply different sentencing principles. The prototype is at present undergoing testing by some of the participating judges.

Journal

Artificial Intelligence and Law – Springer Journals

Published: Jun 12, 2006

References

  • Modeling Legal Argument
    Ashley, K. D.
  • Case-Based Reasoning and its Implications for Legal Expert Systems
    Ashley, K. D.
  • Knowledge-Based Systems and Legal Applications
  • Foundations of Decision Support Systems
    Bonczek, R. H.; Holsapple, C. W.; Whinston, A. B.
  • A Computerized Sentencing Information System for New South Wales Courts
    Chan, J.
  • Computerized Sentencing Information for Judges
    Doob, A. N.; Park, N. W.
  • What Computers Still Can’t Do
    Dreyfuss, H. L.
  • The Judge’s Apprentice
    Hacohen-Kerner, Y.; Schild, U. J.
  • Can Expert System Technology Contribute to Improved Bail Conditions
    Hassett, P.
  • Fundamental Concepts as Applied in Judicial Reasoning
    Hohfeld, W. N.
  • Computer and the Law: Sentencing Database System, User’s Guide
    Hogarth, J.
  • Sentencing Reform by Self-Regulation: Present and Future Prospects of the Sentencing Information System for Scotland’s High Court Justiciary
    Hutton, N.; Tata, C.
  • Statistical Information Systems as a Means to Consistency and Rationality in Sentencing
    Lovegrove, A.
  • Reflections on Taxman: An Experiment in AI and Legal Reasoning
    McCarty, L. T.
  • Ownership: A case study in the representation of legal concepts
    McCarty, L. T.
  • Statistical Information Systems for Sentencing: The Israeli Approach
    Schild Uri, J.
  • Computerized Decision Technology in Social Service
    Shapira, M.
  • A Hybrid rule-neural approach for the automation of legal reasoning in the discretionary domain of family law in Australia
    Stranieri, A.; Zeleznikow, J.; Gawler, M.; Lewis, B.
  • The Application of Judicial Intelligence and ‘Rules’ to Systems Supporting Discretionary Judicial Decision-Making
    Tata, C.
  • Principles of Sentencing
    Thomas, D. A.
  • A Sentencing Information System named ‘NOSTRA’
    Van der Vinne, J.; van Zwol, W.; Karnekamp, M.
  • Federal Sentencing Guidelines: The United States and Canadian Schemes Compared
    von Hirsch, A.