Srinivas, M. K. (2025) Artificial Intelligence as a new technological frontier in judicial governance. International Journal For Legal Research and Analysis, 2 (8). pp. 5-20. ISSN 2582-6433
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Abstract
Artificial Intelligence (AI) has evolved from a long-standing technological idea to a quickly developing instrument that is becoming more and more important for legal organizations. Despite the fact that AI technology have been around for decades, their incorporation into legal and law enforcement systems is a relatively new development. These days, artificial intelligence (AI) has great potential for the administration of justice, including better procedural efficiency, increased access to justice, improved capacity for crime detection and prevention, and improved decision-support for judges. These opportunities come with significant institutional, ethical, and legal obstacles, though. There are issues with algorithmic bias, accountability, transparency, and the defense of fundamental rights when AI is used in legal settings. In their capacity as defenders of the constitution and human rights, judges are essential in making sure AI systems used in legal proceedings adhere to the law. Courts are increasingly depending on constitutional safeguards, international human rights legislation, and data-protection frameworks to reduce the risks associated with discriminatory or opaque AI systems, as seen by emerging jurisprudence. To fulfil this role effectively, judicial actors require a robust understanding of AI technologies and their intersection with human rights norms. The necessity of enhancing judicial competence to assess, control, and supervise AI within justice systems is emphasized in this essay, which explores AI as a developing area for the judiciary.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Artificial intelligence, bias mitigation, constitutional rights, digital justice, ethical governance |
| Subjects: | L LAW > LAW |
| Divisions: | Department of > Law |
| Depositing User: | C Swapna Library Assistant |
| Date Deposited: | 11 Dec 2025 05:40 |
| Last Modified: | 11 Dec 2025 05:40 |
| URI: | http://eprints.uni-mysore.ac.in/id/eprint/18208 |
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