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Digital Platform, AI Governance And Transnational Liability




Anusha. M, BBA, LLB, Vinayaka Mission's Law School (VMLS)

Dhandabani. V BCA, MS (cs), LLB, Vinayaka Mission's Law School (VMLS)


ABSTRACT


The rapid growth of digital platforms and artificial intelligence has significantly transformed global communication, commerce, and decision- making processes. However, the cross-border nature of these technologies has created complex legal challenges, particularly in relation to governance, accountability, and liability. This paper examines the emerging framework of artificial intelligence governance on digital platforms and analyses the difficulties in determining transnational liability when harm occurs across multiple jurisdictions. It explores how existing legal systems struggle to regulate platform-based AI activities due to issues such as jurisdictional conflicts, lack of uniform standards, and the involvement of multiple stakeholders including platform providers, developers, and users. The study further evaluates current regulatory approaches adopted by different countries and international bodies to address AI-related risks. By analyzing comparative legal frameworks and recent policy developments, the paper highlights the need for coordinated global governance mechanisms to ensure accountability, transparency, and protection of fundamental rights. The research argues that effective transnational regulatory cooperation and clearly defined liability standards are essential to balance technological innovation with legal responsibility in the digital era.



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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