Online dispute resolution: an artificial intelligence perspective
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Carneiro, Davide, Novais, Paulo, Andrade, Francisco, Zeleznikow, John 
ORCID: 0000-0002-8786-2644 and Neves, Jose
(2012)
Online dispute resolution: an artificial intelligence perspective.
Artificial Intelligence Review.
ISSN 0269-2821 (print) 1573-7462 (online)
Abstract
Litigation in court is still the main dispute resolution mode. However, given the amount and characteristics of the new disputes, mostly arising out of electronic contracting, courts are becoming slower and outdated. Online DisputeResolution (ODR)recently emerged as a set of tools and techniques, supported by technology, aimed at facilitating conflict resolution. In this paper we present a critical evaluation on the use of Artificial Intelligence (AI) based techniques in ODR. In order to fulfill this goal, we analyze a set of commercial providers (in this case twenty four) and some research projects (in this circumstance six). Supported by the results so far achieved, a new approach to deal with the problem of ODR is proposed, in which we take on some of the problems identified in the current state of the art in linking ODR and AI.
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/10367 |
| DOI | 10.1007/s10462-011-9305-z |
| Official URL | http://link.springer.com/article/10.1007%2Fs10462-... |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > FOR Classification > 1801 Law Historical > Faculty/School/Research Centre/Department > School of Management and Information Systems Historical > SEO Classification > 9404 Justice and the Law |
| Keywords | ResPubID24878, alternative dispute resolution, online dispute resolution, artificial intelligence, conflicts, judicial dispute resolution, e-commerce, AI research, ODR systems, Video Presence, decision support system, Split Up, expert system, case-based reasoning, CBR, multi-agent systems, MAS, ontology, rule-based system, RbS, cosine similarity, vector representation |
| Citations in Scopus | 32 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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