Towards designing Artificial Intelligence (AI)-based Online Dispute Resolution (ODR) services: The case of +Acordo

  • Motta I
  • Lima M
  • Ambrosio T
  • et al.
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Abstract

Artificial Intelligence (AI)-based Online Dispute Resolution (ODR) services are a beneficial alternative to litigation in consumer-related claims in Brazil. Thus, understanding how to improve these services is important. Nevertheless, designers still need to explore some open gaps, such as specificities of the Brazilian context, characteristics of consumer claims, and potential impacts of employing AI. This paper aims to discuss design implications through a two-phased case study on an AI-based ODR service developed by a Brazilian State Court: +Acordo. In study 1, we present a map illustrating lawyers' journeys with consumer lawsuits against electricity companies. In study 2, we expose results from interviews with certified mediators. Our results indicate that AI-based ODR services should highlight their quickness and ethics throughout the services' touchpoints. These services should also be transparent and clear, even for layman consumers. Moreover, designers should explore ways to integrate AI systems with human-based support throughout the service.

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APA

Motta, I., Lima, M. J., Ambrosio, T., Celecia, A., Mangeth, A. L., Frajhof, I., & Cury, C. (2023). Towards designing Artificial Intelligence (AI)-based Online Dispute Resolution (ODR) services: The case of +Acordo. In ServDes.2023 Entanglements & Flows Conference: Service Encounters and Meanings Proceedings, 11-14th July 2023, Rio de Janeiro, Brazil (Vol. 203, pp. 1193–1215). Linköping University Electronic Press. https://doi.org/10.3384/ecp203061

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