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Artificial Intelligence, Ethics, And Law In Governance: Striking A Balance Between Innovation And Accountability




Shreya S, Sastra Deemed University, Thanjavur


ABSTRACT


Artificial Intelligence (AI) has become one of the most revolutionary forces changing governance, legal frameworks, and societal structures in the twenty-first century. Though its ability to improve administrative effectiveness, predictive administration, and legal judgment is vast, it also poses major ethical, legal, and constitutional challenges. This article embarks on an interdisciplinary analysis of the governance of AI by seeking to bridge the law, technology, and society viewpoints. It delves into the legal responsibility of AI decision-making, accountability in healthcare and administrative settings, data privacy and protection issues, algorithmic prejudice, and the balance between regulatory and innovation. Through close examination of statutes like the Information Technology Act, 2000, the Digital Personal Data Protection Act, 2023, and foreign instruments like the GDPR, the paper analyses how rules of law seek to balance technological upsets with constitutional rights. Indian and comparative case laws explain the shifting judicial response to AI accountability and fairness in algorithms. Also, the research questions whether the prevailing doctrines such as tort liability, constitutional protection, and human rights norms are sufficient or new regulatory models are needed. Through doctrinal and ethical research, the research reflects on the urgent need for a strong, transparent, and participatory governance regime for AI in India and the world.



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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Licensing: 

 

All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

Disclaimer:

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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