DIGITALIZATION OF INTERNATIONAL ARBITRATION AND DISPUTE RESOLUTION BY ARTIFICIAL INTELLIGENCE

dc.contributor.authorSaid Gulyamov
dc.contributor.authorMokhinur Bakhramova
dc.date.accessioned2025-12-31T13:02:01Z
dc.date.issued2022-04-25
dc.description.abstractIn this article, we aim to provide an overview of the status of technological capabilities for arbitrage in relation to AI applications. We will focus on AI applications and bypass the common issues of digitization and blockchain technology. Although there are blockchain applications for arbitrage, they are less relevant to our query than AI applications. The first (human) is focused on effective decision making. On the contrary, the latter seeks to help people make decisions or even to replace people as decision makers. This is the central part of the research question we are studying (“What is Arbitration?”). When it comes to artificial intelligence applications for arbitration, we especially look at applications that help arbitrators perform their arbitration functions or ultimately assume these functions. We are not primarily interested in AI applications for advice in arbitration and / or arbitral tribunals. Of course, there are similarities: some applications can be used by different participants in the arbitration process, for example, to search and review documents or to analyze decisions.
dc.formatapplication/pdf
dc.identifier.urihttps://scholarexpress.net/index.php/wbml/article/view/848
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/45614
dc.language.isoeng
dc.publisherScholar Express Journals
dc.relationhttps://scholarexpress.net/index.php/wbml/article/view/848/759
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceWorld Bulletin of Management and Law; Vol. 9 (2022): WBML; 79-85
dc.source2749-3601
dc.subjectE-arbitration
dc.subjectmachine learning
dc.subjectartificial intelligence
dc.subjecttraining data
dc.titleDIGITALIZATION OF INTERNATIONAL ARBITRATION AND DISPUTE RESOLUTION BY ARTIFICIAL INTELLIGENCE
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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