Indian Journal for Research in Law and Management

Advancing Law and Management

ISSN No. : 2583-9896

Can Artificial Intelligence Function as an Arbitrator? A Legal and Ethical Analysis

Cite this Article

Mannat Gothwal (2026). Can Artificial Intelligence Function as an Arbitrator? A Legal and Ethical Analysis. The Indian Journal for Research in Law and Management, Volume III(Issue 10). Retrieved from https://ijrlm.com/journal/can-artificial-intelligence-function-as-an-arbitrator-a-legal-and-ethical-analysis/

Abstract

Justice has always been regarded as a distinctly human responsibility. But as artificial intelligence becomes increasingly capable of performing complex legal tasks, can it also be trusted to decide disputes? This question lies at the heart of the growing debate on the role of artificial intelligence (AI) in arbitration. The expanding use of AI in Online Dispute Resolution (ODR), legal research, document review, and case management has significantly reshaped arbitral practice, raising important questions about whether AI can move beyond assisting decision-makers to functioning as an arbitrator itself. This paper examines the legal and ethical feasibility of AI acting as an arbitrator within the existing framework of international and domestic arbitration law. It explores whether current legal instruments recognise or implicitly exclude AI arbitrators, analyses the ethical concerns associated with AI-driven adjudication, and considers the reforms required for its responsible integration into arbitral proceedings.

Journal Information

The Indian Journal for Research in Law and Management
ISSN No.
2583-9896
Submit Manuscript
Licensing
All research articles published in The Indian Journal for Research in Law and Management are fully open-access. i.e. immediately freely available to read, download, and share. Articles are published under the terms of a Creative Commons license, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited.
Disclaimer
The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJRLM or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJRLM.

Article Analytics

18
Page Views
2
Downloads