IDEAS home Printed from https://ideas.repec.org/a/axf/ijless/v2y2025i1p1-7.html
   My bibliography  Save this article

The Application of Artificial Intelligence in International Commercial Arbitration: Technological Advancements and Legal Challenges

Author

Listed:
  • Zheng, Fangyan

Abstract

The rapid development of artificial intelligence (AI) technology is profoundly impacting the field of international commercial arbitration, bringing unprecedented technological advancements to arbitration procedures while also raising a series of legal challenges. This paper explores the main application scenarios of AI in international commercial arbitration, including the automation of arbitration procedures, legal research and analysis, arbitrator assistance tools, and online dispute resolution platforms. By analyzing the positive effects of AI in improving arbitration efficiency, reducing costs, and enhancing transparency, this paper also delves into key issues such as algorithmic bias, liability attribution, data security, the role of arbitrators, and legal ethics. Finally, it proposes recommendations to strengthen technological research and development, improve legal regulations, promote international cooperation, and emphasize ethical construction, aiming to facilitate the rational application of AI in international commercial arbitration and drive the arbitration system toward greater efficiency, fairness, and transparency.

Suggested Citation

Handle: RePEc:axf:ijless:v:2:y:2025:i:1:p:1-7
as

Download full text from publisher

File URL: https://soapubs.com/index.php/IJLESS/article/view/257/270
Download Restriction: no
---><---

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:axf:ijless:v:2:y:2025:i:1:p:1-7. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Yuchi Liu (email available below). General contact details of provider: https://soapubs.com/index.php/IJLESS .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.