Automatic Weapon System and Unmanned Drones

  • Kanwaljit Singh
  • Show Author Details
  • Kanwaljit Singh

    Phd Research Scholar at Rajiv Gandhi National University of Law, Punjab, India

  • img Download Full Paper

Abstract

This research paper explores the evolving landscape of automatic weapon systems and unmanned drones, with a particular focus on their legal, ethical, and societal implications. Beginning with the formulation of the research problem, hypothesis, methodology, and objectives, the study sets a foundation for analyzing how autonomous technologies are reshaping modern warfare and surveillance. A critical review of existing literature provides context for the technological advancements and global discourse surrounding these systems. The paper then delves into drone laws in India, highlighting the regulatory framework and challenges unique to the Indian context. Furthermore, it examines the risks, benefits, and ethical considerations posed by these technologies to society, emphasizing issues such as civilian safety, accountability, and privacy. Special attention is given to autonomous weapons and the ethics of artificial intelligence, assessing the moral boundaries and responsibilities involved in delegating life-and-death decisions to machines. The study concludes by synthesizing findings to offer insights and recommendations for future research and policy development in this critical field of defense and technology.

Keywords

  • Autonomous Weapons
  • Unmanned Drones
  • AI Ethics
  • Drone Laws
  • National Security

Type

Research Paper

Information

International Journal of Law Management and Humanities, Volume 8, Issue 3, Page 3227 - 3241

DOI: https://doij.org/10.10000/IJLMH.1110134

Creative Commons

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 2021