Open Access Research Article
ARTIFICIAL INTELLIGENCE IN INTERNATIONAL ARBITRATION: A CRITICAL ANALYSIS OF EMERGING LEGAL AND ETHICAL CHALLENGES
Abstract
Artificial
intelligence is increasingly used in international arbitration for legal research,
document review, translation, evidence organisation and drafting. These
applications may reduce the time and cost involved in complex disputes, but
they also raise concerns about accuracy, confidentiality, bias, transparency and
responsibility. The central question is whether the existing legal and ethical
framework governing international arbitration is sufficient to address these
risks. This paper examines the UNCITRAL Model Law on International Commercial
Arbitration, the UNCITRAL Arbitration Rules and the New York Convention,
alongside the 2024 Guidelines of the Silicon Valley Arbitration & Mediation
Center (SVAMC), the 2025 Chartered Institute of Arbitrators (Ciarb) Guideline
and relevant judicial developments. It argues that existing principles—including
equality of parties, due process, confidentiality
and independent decision-making—can address some AI-related problems, but do
not provide detailed or uniform standards for all situations. The paper
recommends risk-based disclosure, independent verification, stronger protection
of confidential information, procedural directions where appropriate and
continued human control over arbitral decisions. AI should remain a support tool,
not a substitute for the judgment and responsibility of legal professionals or
arbitrators.
Published Paper
Author Details
Authors: KSHIPRA CHAVANRegistration ID: 1013461 | Published Paper ID: IJLRA13461Approved ISSN: 2582-6433 | Country: Delhi, IndiaPage No.: 2403-2415
Article Information
ARTIFICIAL INTELLIGENCE IN INTERNATIONAL ARBITRATION: A CRITICAL ANALYSIS OF EMERGING LEGAL AND ETHICAL CHALLENGES
Authors: KSHIPRA CHAVAN
- Journal IJLRA
- ISSN 2582-6433
- Volume 3
- Issue 7
About Journal
International Journal for Legal Research and Analysis
- AbbreviationIJLRA
- ISSN2582-6433
- AccessOpen Access
- LicenseCC 4.0
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