Home / Volume 9, Issue 2 / Political Economy in AI governance Open access · CC BY-NC 4.0
Research Paper Volume 9 Issue 2 2888 - 2895 April 30, 2026

Political Economy in AI governance

Lead author · Corresponding
Abhikalp Tomar
Student at Amity Law School, Noida, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.1111861
Abstract

The construction of the study of the modern perspective of AI. it is going well under the eyes of the law. The research is currently dedicated to the research of the rapid development of artificial intelligence solutions and its consequence. to the already-existing laws. Preliminary research has been conducted on policy reviews and academic literature. papers, and regulatory techniques adopted in various jurisdiction to fight data. AI systems liability, ethical governance, accountability, and protection. To date, the progress moves towards the higher need to employ adaptive legal systems. that will be able to regulate the decision-making process that is fueled by AI and assist in the prevention of the interference. with major rights and additional innovations. The second stage of the work will be closer examination of the developing principles of law and case studies in order to learn how the law was capable of responding efficiently to necessities of artificial intelligence in the contemporary society. This fast-developing artificial intelligence has not only brought about new opportunities to not only living in the modern societies but also presented serious legal problems to the societies. The study provides a glimpse of the contemporary perception of artificial intelligence in the law and the way it is currently applied in the law. AI technologies have new possibilities, which are discussed within frameworks.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 9, Issue 2, Page 2888 - 2895
DOI: https://doij.org/10.10000/IJLMH.1111861
Creative Commons
CC BY-NC 4.0 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.
Copyright
Copyright © IJLMH 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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