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Expedient Justice Through Artificial Intelligence: Scope And Limitations




Nandhaa Kishore S, BBA. LLB. (Hons.), SASTRA (Deemed) University

Prian Adarsh, BBA. LLB. (Hons.), SASTRA (Deemed) University


ABSTRACT


Artificial Intelligence (AI) ceased to be a myth when chatbots and other open-source software gained prominence by being made available to the common man. In the legal backdrop, the third pillar of democracy has often faced problems in timely disposal of cases. The mere vision became a reality when cases of low complexity consisting of trivial disputes occupied the foreground of justice delivery. Moreover, substantial developments were made to AI to aid dispute resolution through courts and theoretically replace traditional resolution techniques. However, the other side of the coin contains rather a quaky effect of AI ‘erring’ in its decisions. AI-based justice systems can fail to consider pertinent data which may impact delivery of justice, like perspectives and emotions of contending parties. Delivery of justice, being the primary function of the Judiciary, the State must be equipped with the latest and greatest techniques of AI for timely and effective resolution of disputes. The first step towards this is to incorporate AI-based systems into Courts and digitise the documentation. To a satisfactory extent, this is on the verge of complete implementation in most states in India. Taking this to the next step would require integration of cognitive algorithms to expediate court processes, assist lawyers and paralegals, and predict outcomes of cases based on issues raised and arguments advanced. Expedient disposal of cases in India and abroad will be studied in the following paper and the scope of applicability of AI in the present judicial system will be examined.


Keywords: Artificial General Intelligence, BATNA, Correctional Offender Management Profiling for Alternative Sanctions (COMPAS), Machine Learning, procedure established by law.

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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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