Transparency, Accountability, and Legitimacy in Ai-driven Arbitration: A Legal Analysis

Abstract

The expanding deployment of algorithmic systems within arbitration signifies a paradigm shift across modern dispute resolution. Moving beyond administrative case handling into predictive tools and automated draft generation, digital mechanisms increasingly execute tasks historically entrusted solely to human adjudicators. Although advocates cite enhanced procedural speed, lower expenditures, and decision-making uniformity, this shift creates significant legal and normative tensions—most notably concerning transparency, liability, and the underlying legitimacy of automated determinations.

This study critically evaluates the structural opacities inherent in automated dispute resolution mechanisms, concentrating on the "black box" dilemma where complex algorithmic operations remain unexplainable to participating litigants. We argue that such procedural obscurity poses a direct challenge to core procedural safeguards and due process guarantees, which form the normative bedrock of private adjudication. Furthermore, the analysis scrutinizes existing responsibility structures under municipal and international frameworks—including the UNCITRAL Model Law alongside key institutional regulations—demonstrating their present insufficiency in mitigating technology-specific risks.

Employing a combined doctrinal and comparative research design, this study examines evolving regulatory paradigms globally, including the European Union's Artificial Intelligence Act and recent institutional directives, to formulate a rights-based governance framework for algorithmic integration in dispute resolution. Ultimately, the paper demonstrates that transparency and interpretability must function as mandatory procedural prerequisites, proposing compulsory notification regimes,