Digitalization of international arbitration and dispute resolution by artificial intelligence

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  • Said Gulyamov Tashkent State University of Law

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Keywords:

E-arbitration machine learning artificial intelligence “training data” ArbiLex New York Convention a smart planning assistant optical character recognition (OCR) technologies NexLP Story Engine eBrevia Brainspace Discovery AI concept Cisco Webex robot COVID-19

Abstract

In 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.

Author Biography

Said Gulyamov, Tashkent State University of Law

Doctor of Law, Professor

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2022-04-24

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How to Cite

Gulyamov, S. (2022). Digitalization of international arbitration and dispute resolution by artificial intelligence. Gulyamov Said Saidakhrarovich, 1(1). Retrieved from https://www.old.gulyamov.org/index.php/said/article/view/102

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