Published Paper Details:

Artificial Intelligence ("AI") is revolutionizing and restructuring the entire landscape of international arbitration by offering new tools that not only automate many administrative tasks but also ease the streamlined process of document review, and even it aids in the composition of awards. By using the system of advanced machine-learning algorithms effectively, parties to arbitration can anticipate probable outcomes with higher degrees of accuracy, better tailor their choice of arbitrators, and handle vast quantities of data far more efficiently than ever. But the use of AI also raises some basic questions and concerns about key issues such as transparency, accountability, and ensuring the preservation of key arbitral norms, such as due process and confidentiality. This paper tries to offer a comprehensive and exhaustive analysis of the current and potential uses of AI in the context of arbitration, and the attendant risks, such as "black-box" opacity and algorithmic bias, and the attendant legal and ethical implications that arise under existing institutional rules as well as national laws. Drawing on leading institutional reports, meticulous scholarly researches, and comparative regulatory efforts, it makes a compelling case that while AI promises significant efficiency gains and increased access to justice, the creation of strong governance frameworks and calls for explainability are critical to ensuring fairness and upholding legitimacy in the arbitral process.