{"title":"AI and the Future of Disputing: Naming, Blaming, Claiming, and Preventing","authors":"Ethan Katsh, Talia Schwartz-Maor, Orna Rabinovich-Einy","doi":"10.1002/crq.21477","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":39736,"journal":{"name":"Conflict Resolution Quarterly","volume":"43 1","pages":"79-89"},"PeriodicalIF":1.1000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/crq.21477","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conflict Resolution Quarterly","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/crq.21477","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍：
Conflict Resolution Quarterly publishes quality scholarship on relationships between theory, research, and practice in the conflict management and dispute resolution field to promote more effective professional applications. A defining focus of the journal is the relationships among theory, research, and practice. Articles address the implications of theory for practice and research directions, how research can better inform practice, and how research can contribute to theory development with important implications for practice. Articles also focus on all aspects of the conflict resolution process and context with primary focus on the behavior, role, and impact of third parties in effectively handling conflict.
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