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Introduction

Published online by Cambridge University Press:  05 May 2022

Afonso Seixas-Nunes
Affiliation:
University of Oxford
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Summary

Increasing progress in the field of Artificial Intelligence (AI) and greater understanding of its many potential applications in warfare have, for some time now, given rise to much heated international debate. While drone technology has already demonstrated that modern weapons of war can be ‘uninhabited’ (no human operator is to be found inside the drone) and remotely controlled, current research on AI has begun investigating the feasibility of producing autonomous weapon systems. Seducing some and scaring others, weapon systems capable of identifying, selecting and engaging military targets without human intervention could in the not too distant future be deployed on the battlefield.

Type
Chapter
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The Legality and Accountability of Autonomous Weapon Systems
A Humanitarian Law Perspective
, pp. 1 - 8
Publisher: Cambridge University Press
Print publication year: 2022

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  • Introduction
  • Afonso Seixas-Nunes, University of Oxford
  • Book: The Legality and Accountability of Autonomous Weapon Systems
  • Online publication: 05 May 2022
  • Chapter DOI: https://doi.org/10.1017/9781009090001.001
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  • Introduction
  • Afonso Seixas-Nunes, University of Oxford
  • Book: The Legality and Accountability of Autonomous Weapon Systems
  • Online publication: 05 May 2022
  • Chapter DOI: https://doi.org/10.1017/9781009090001.001
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Introduction
  • Afonso Seixas-Nunes, University of Oxford
  • Book: The Legality and Accountability of Autonomous Weapon Systems
  • Online publication: 05 May 2022
  • Chapter DOI: https://doi.org/10.1017/9781009090001.001
Available formats
×