Article

Acknowledging insufficiency in the evaluation of legal knowledge-based systems: strategies towards a broadbased evaluation model

Authors:

Maria Jean J. Hall,

John ZeleznikowAuthors Info & Claims

ICAIL '01: Proceedings of the 8th international conference on Artificial intelligence and law

Pages 147 - 156

https://doi.org/10.1145/383535.383553

Published: 01 May 2001 Publication History

Abstract

This paper considers the need for evaluation of knowledge-based systems in general and legal knowledge-based systems in particular. Some special features of legal knowledge-based systems pertinent to their evaluation are presented. The expected benefits of such evaluations are discussed. and some of the difficulties likely to be encountered are outlined.

The proceedings of four International Conferences on Artificial Intelligence and Law are analysed to determine the rate of reporting evaluations in non-theoretical papers. These papers had a low rate of consideration of evaluation issues reflecting common practice in research biased development environments. These results confirm that more attention to evaluation is needed in the legal knowledge based systems domain.

This paper foreshadows the development of an evaluation methodology tailored specifically for legal knowledge-based systems. Evaluation strategies beyond verification and validation are drawn upon, both from the international ISO/IEC 14598 and 9126 standards and also from previous work on evaluation models for knowledge-based systems.

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Acknowledging insufficiency in the evaluation of legal knowledge-based systems: strategies towards a broadbased evaluation model

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ICAIL '01: Proceedings of the 8th international conference on Artificial intelligence and law

May 2001

234 pages

ISBN:1581133685

DOI:10.1145/383535

Editor:
Ronald P. Loui
Washington Univ., St. Louis, MO

Copyright © 2001 ACM.

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Published: 01 May 2001

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Cited By

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https://doi.org/10.1007/978-3-031-15565-9_12
Bartolini CLenzini GSantos C(2019)An Agile Approach to Validate a Formal Representation of the GDPRNew Frontiers in Artificial Intelligence10.1007/978-3-030-31605-1_13(160-176)Online publication date: 11-Oct-2019
https://doi.org/10.1007/978-3-030-31605-1_13
Conrad JAl-Kofahi KKeppens JGovernatori G(2017)Scenario analyticsProceedings of the 16th edition of the International Conference on Articial Intelligence and Law10.1145/3086512.3086516(29-37)Online publication date: 12-Jun-2017
https://dl.acm.org/doi/10.1145/3086512.3086516
Berry PDonneau-Golencer TDuong KGervasio MPeintner BYorke-Smith N(2017)Evaluating intelligent knowledge systemsKnowledge and Information Systems10.1007/s10115-016-1011-352:2(379-409)Online publication date: 1-Aug-2017
https://dl.acm.org/doi/10.1007/s10115-016-1011-3
Conrad JZeleznikow JSichelman TAtkinson K(2015)The role of evaluation in AI and lawProceedings of the 15th International Conference on Artificial Intelligence and Law10.1145/2746090.2746116(181-186)Online publication date: 8-Jun-2015
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Bench-Capon TAraszkiewicz MAshley KAtkinson KBex FBorges FBourcier DBourgine PConrad JFrancesconi EGordon TGovernatori GLeidner JLewis DLoui RMccarty LPrakken HSchilder FSchweighofer EThompson PTyrrell AVerheij BWalton DWyner A(2012)A history of AI and Law in 50 papersArtificial Intelligence and Law10.1007/s10506-012-9131-x20:3(215-319)Online publication date: 1-Sep-2012
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