Utilisation of AI for the Settlement of Disputes through Mediation

Authors

  • Asim Arslan Ahmad Legal Practitioner (Amir Rasul and Co.), LLM Scholar (International Commercial Law), University of Management and Technology Author

DOI:

https://doi.org/10.59075/ngqc6x26

Keywords:

Mediation, Artificial Intelligence (AI), Dispute Settlement, Alternative Dispute Resolution, Algorithms, Procedure

Abstract

Alternative Dispute Resolution (ADR) is a method for resolving a dispute in a non-traditional way, outside the court without entering into normal conventional litigation. ADR is not restricted only to arbitration or mediation rather it covers all the means utilized for the settlement of a dispute outside the court without the intervention of any judicial proceedings. The need to shift the litigation system to an Alternative system is the efficiency and flexibility maintained by ADR, which provides parties to dispute, a speedy and quick solution without getting into a lengthy trial. This study critically examines the integration of artificial intelligence into the mediation process for uplifting the mediation standards and reducing the factors of bias in the mediation procedure in order to highlight mediation as the most sustainable procedure for the settlement of disputes outside the court. This article inspects that AI is a solution for replacing human mediators and also pinpoints the potential challenges for AI-based mediation models. Furthermore, this article examines that what factors are causing hindrances in the implementation of AI-integrated mediation models, and what the advantages of AI in mediation are. The article utilized the qualitative research methodology to carry out the study and potential recommendations will be made for a sustainable hybrid model of AI and Human-Integrated Mediation for resolving commercial as well as other disputes.

Published

2024-12-16

How to Cite

Utilisation of AI for the Settlement of Disputes through Mediation. (2024). The Critical Review of Social Sciences Studies, 2(2), 1320-1329. https://doi.org/10.59075/ngqc6x26