International Journal of Online Dispute Resolution

Article

Creating New Pathways to Justice Using Simple Artificial Intelligence and Online Dispute Resolution

Keywords expert system, online dispute resolution, artificial intelligence, access to justice, legal information technology
Authors Darin Thompson
Author's information

245078 Darin Thompson
Legal Counsel, BC Ministry of Justice; Adjunct Law Professor, University of Victoria; Adjunct Law Professor, Osgoode Hall Law School. Email: darinmobile@gmail.com.
  • Abstract

      Access to justice in can be improved significantly through implementation of simple artificial intelligence (AI) based expert systems deployed within a broader online dispute resolution (ODR) framework.
      Simple expert systems can bridge the ‘implementation gap’ that continues to impede the adoption of AI in the justice domain. This gap can be narrowed further through the design of multi-disciplinary expert systems that address user needs through simple, non-legalistic user interfaces.
      This article provides a non-technical conceptual description of an expert system designed to enhance access to justice for non-experts. The system’s knowledge base would be populated with expert knowledge from the justice and dispute resolution domains. A conditional logic rule-based system forms the basis of the inference engine located between the knowledge base and a questionnaire-based user interface.
      The expert system’s functions include problem diagnosis, delivery of customized information, self-help support, triage and streaming into subsequent ODR processes. Its usability is optimized through the engagement of human computer interaction (HCI) and affective computing techniques that engage the social and emotional sides of technology.
      The conceptual descriptions offered in this article draw support from empirical observations of an innovative project aimed at creating an expert system for an ODR-enabled civil justice tribunal.

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