ISSN (O): 2581-9453 Indexed in Manupatra, Google Scholar & ROAD Est. 2019 VidhiAagaz Group
Home / Volume 5, Issue 3 / Means and Methods of Warfare and International Humanitarian… Open access · CC BY-NC 4.0
Research Paper Volume 5 Issue 3 160 - 181 June 29, 2023

Means and Methods of Warfare and International Humanitarian Law in the Age of Artificial Intelligence and Machine Learning

Lead author · Corresponding
Shivam Kumar Pandey
Research Scholar at Rashtriya Raksha University, India
Co-author
Aditya Narayan
LL.M. Student at Rashtriya Raksha University, India
Abstract

The development of AI and ML technologies has significantly altered how war is fought, which puts the existing legal system of international humanitarian law in jeopardy. The implications of AI and ML in combat are examined in this abstract, which emphasises the necessity for a thorough knowledge of their potential effects on IHL principles. Artificial intelligence (AI) and machine learning (ML) are being incorporated into weapon systems, targeting procedures, and decision-making, which has ramifications for distinction, proportionality, and precautions in assault. In the creation, implementation, and application of AI and ML technologies, the abstract emphasises the significance of ensuring accountability, human control, and compliance with IHL. Additionally, it emphasises the necessity of increased communication between nations, international organisations, and specialists to address the moral and legal issues raised. The goal is to increase awareness of the critical concerns involving AI, ML, and IHL and to promote additional study and conversations to make sure that these developments in combat adhere to the IHL's guiding principles of humanity, distinction, and proportionality.

Type
Research Paper
Information
International Journal of Legal Science and Innovation, Volume 5, Issue 3, Page 160 - 181
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 © IJLSI 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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