A Novel Pathway to Justice Using Artificial Intelligence and Humans Oversight in Ai-Driven Alternative Dispute Resolution

  • Gokul Priya N. and Rishi Vardhan K.T.
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  • Gokul Priya N.

    Student of SASTRA deemed University, Thanjvaur, India

  • Rishi Vardhan K.T.

    Student of SASTRA deemed University, Thanjvaur, India

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Abstract

The development of legal systems has always been intertwined with the quest for justice. AI-driven alternative dispute resolution (ADR) is a new paradigm that is evolving in the 21st century. This revolutionary method promises to improve the court system's Efficiency, accessibility, and impartiality by revolutionizing conflict resolution with Artificial intelligence. In order to improve the efficiency, accessibility, and fairness of the dispute resolution process, this hybrid approach use of both the vital role of human expertise and empathy, as well as the strengths of AI technologies, such as machine learning and natural language processing. In the current context, alternative dispute resolution (ADR) involving artificial Intelligence is necessary to provide a fair and impartial settlement between the disputing parties. However, it is evident that human emotions cannot be comprehended by an AI system, and India lacks the necessary infrastructure and resources to develop one. Additionally, even if the AI ADR system functions as intended, it will take time to train users on how to use it. And overall liability of the AI failure has been addressed. The goal of this research is to determine if AI-assisted ADR can take the role of human-assisted ADR. This article will go into the technology required, the ethical ramifications, and the usefulness of putting this paradigm into practice. It will also compare and contrast this approach with that of the majority of wealthy nations, like the USA, China, Europe, and so on.

Type

Research Paper

Information

International Journal of Legal Science and Innovation, Volume 6, Issue 6, Page 87 - 107

DOI: https://doij.org/10.10000/IJLSI.112268

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This is an Open Access article, distributed under the terms of the Creative Commons Attribution -NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.

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