Research on the Transparency of Civil and Commercial Arbitration from the Perspective of Generative Artificial Intelligence

The emergence of GPT marks a significant progress in natural language processing in the field of generative artificial intelligence. Artificial intelligence has great application potential and value in legal retrieval, document review and production, arbitrator selection, and auxiliary arbitration decision-making. However, there is a contradiction between the development of artificial intelligence and the principle of arbitration confidentiality. Training a more accurate artificial intelligence model requires a large amount of diverse data, while the confidentiality of arbitration limits the acquisition and sharing of data. Therefore, in order to give full play to the potential of artificial intelligence, it is necessary to gradually increase the transparency of arbitration and achieve a balance between arbitration confidentiality and transparency through reasonable institutional design and legal norms.

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Publication Details

Journal
Law and Economy
Published
2024-10-01
DOI
https://doi.org/10.56397/le.2024.10.09
Primary Topic
Digital Transformation in Law
Type
article
Field-Weighted Citation Impact
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article

Research on the Transparency of Civil and Commercial Arbitration from the Perspective of Generative Artificial Intelligence

Wenxin Deng
Law and Economy
Digital Transformation in Law
article

Research on the Transparency of Civil and Commercial Arbitration from the Perspective of Generative Artificial Intelligence

Wenxin Deng
article en

Abstract

The emergence of GPT marks a significant progress in natural language processing in the field of generative artificial intelligence. Artificial intelligence has great application potential and value in legal retrieval, document review and production, arbitrator selection, and auxiliary arbitration decision-making. However, there is a contradiction between the development of artificial intelligence and the principle of arbitration confidentiality. Training a more accurate artificial intelligence model requires a large amount of diverse data, while the confidentiality of arbitration limits the acquisition and sharing of data. Therefore, in order to give full play to the potential of artificial intelligence, it is necessary to gradually increase the transparency of arbitration and achieve a balance between arbitration confidentiality and transparency through reasonable institutional design and legal norms.

Law and EconomyVol. 3(10)
South China Agricultural University (CN)
Openalex Percentile: Top 66%
Digital Transformation in Law
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Research on the Transparency of Civil and Commercial Arbitration from the Perspective of Generative Artificial Intelligence — Wenxin Deng · Law and Economy (2024) | TGRS Research Map | TGRS