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Artificial Intelligence (AI): The New Arbitrator In Dispute Resolution


Adv. Rasika Tushar Sangle, DES Shri. Navalmal Firodia Law College, Pune


ABSTRACT


From courtrooms to code—AI takes the stand in dispute resolution but at what cost? In the courtroom of algorithms, is fairness an illusion? Currently, AI-powered systems are being integrated into Alternative Dispute Resolution (ADR) mechanisms to streamline processes, reduce costs, and improve outcomes. Tools like automated decision-making, chatbots, and predictive analytics have transformed dispute resolution, especially in online dispute resolution (ODR). However, the rapid deployment of AI brings significant challenges. Concerns about algorithmic bias, lack of transparency, and the potential erosion of human-centric decision-making threaten to undermine trust in such systems. The research centers on balancing the undeniable benefits of AI—speed, accessibility, and scalability—against risks that may compromise fairness, equity, and accountability. Integrating ethical AI frameworks can mitigate risks and enhance AI's role in dispute resolution while maintaining fairness and neutrality. Possible reforms include developing robust regulatory frameworks, improving transparency in AI algorithms, and emphasizing the human oversight role in ADR-ODR hybrids. The researcher has undertaken the topic to analyze how AI can be leveraged to improve access to justice while preserving ethical integrity. By addressing this dual-edged impact, the study seeks to recommend sustainable innovations that balance technological advancement with legal and ethical safeguards.


Keywords: Accountability, Algorithmic Bias, Alternative Dispute Resolution (ADR), Artificial Intelligence (AI), Ethical Frameworks, Transparency.



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Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR 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 IJLLR.

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