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Journal article

Autonomous weapon systems and jus ad bellum

Abstract:
Διπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2022.Despite the world’s generalized stability and peace maintenance, new technologies have affected every aspect of everyday life and practice, from transportation and communication to military capabilities. The new possibilities technologies such as Artificial Intelligence have introduced, along with the still unexplored aspects they entail, present an unprecedented multi-faceted reality in the military domain. Weaponized offensive technologies are being developed in parallel with defensive capabilities, enabling a continuous race between the two and between the states that engage in Artificial Intelligence research and development. These novelties raise a new modus operandi on the conventional battlefield, but also in cyberspace, reshaping the very nature of war. Incorporating AI-enabled offensive technologies in (cyber) war is followed by unfamiliar benefits, challenges, legal and ethical questions. In this paper, I will try to emphasize some of the most common AI-enabled technologies used in contemporary warfare, mention relevant case studies and some of the major states’ policies and national developments, all while presenting both the benefits and the challenges of integrating cutting-edge technologies in the military sphere
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s00146-022-01425-y

Authors

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Role:
Author
ORCID:
0000-0001-9241-3037
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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
ORCID:
0000-0002-1181-649X


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Funder identifier:
10.13039/100010418
Grant:
R-DST-TFS/D026
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Funder identifier:
10.13039/100012338


Publisher:
Springer
Journal:
AI and Society More from this journal
Volume:
39
Issue:
2
Pages:
705-711
Publication date:
2022-03-19
DOI:
EISSN:
1435-5655
ISSN:
0951-5666


Language:
English
Keywords:
Pubs id:
1249103
Local pid:
pubs:1249103
Source identifiers:
W4221090843
Deposit date:
2026-04-10
ARK identifier:
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