<scp>AI</scp> and the Future of Disputing: Naming, Blaming, Claiming, and Preventing

ABSTRACT This paper explores the transformative impact of artificial intelligence (AI) on dispute resolution mechanisms. Our analysis builds on the longstanding framework for explaining the stages through which disputes evolve: the “naming, blaming, claiming” model by Felstiner, Abel, and Sarat (1981). Drawing on the evolution of online dispute resolution (ODR) and insights gained from the application of AI in healthcare, we examine how technological advancements challenge the traditional trajectory of dispute resolution. In particular, we propose a re‐categorization of the stages of disputing, emphasizing the emergence of a “prevention” stage facilitated by AI. By incorporating AI into the existing theoretical framework, we argue that dispute processes are not only restructured at the individual level, in terms of how claims are raised and addressed, but also at a systemic level, in the way data is leveraged to identify patterns and potential sources of conflict.

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Publication Details

Journal
Conflict Resolution Quarterly
Published
2025-04-01
DOI
https://doi.org/10.1002/crq.21477
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00

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article

AI and the Future of Disputing: Naming, Blaming, Claiming, and Preventing

Ethan Katsh, Orna Rabinovich‐Einy, Talia Schwartz‐Maor
Conflict Resolution Quarterly
Ethics and Social Impacts of AI
article

AI and the Future of Disputing: Naming, Blaming, Claiming, and Preventing

Ethan Katsh, Orna Rabinovich‐Einy, Talia Schwartz‐Maor
article en

Abstract

ABSTRACT This paper explores the transformative impact of artificial intelligence (AI) on dispute resolution mechanisms. Our analysis builds on the longstanding framework for explaining the stages through which disputes evolve: the “naming, blaming, claiming” model by Felstiner, Abel, and Sarat (1981). Drawing on the evolution of online dispute resolution (ODR) and insights gained from the application of AI in healthcare, we examine how technological advancements challenge the traditional trajectory of dispute resolution. In particular, we propose a re‐categorization of the stages of disputing, emphasizing the emergence of a “prevention” stage facilitated by AI. By incorporating AI into the existing theoretical framework, we argue that dispute processes are not only restructured at the individual level, in terms of how claims are raised and addressed, but also at a systemic level, in the way data is leveraged to identify patterns and potential sources of conflict.

Conflict Resolution QuarterlyVol. 43(1)
University of Massachusetts Amherst (US), University of Haifa (IL)
European Commission
Openalex Percentile: Top 94%
Ethics and Social Impacts of AI
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