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To ban or not to ban : analyzing the banning process of autonomous weapon systems

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Abstract
Over the last decade, autonomous weapon systems (AWS), also known as ‘killer robots’, have been the subject of widespread debate. These systems impose various ethical, legal, and societal concerns with arguments both in favor and opposed to the weaponry. Consequently, an international policy debate arose out of an urge to ban these systems. AWS are widely discussed at the Human Rights Council debate, the United Nations General Assembly First Committee on Disarmament and International Security, and at gatherings of the Convention of Conventional Weapons (CCW), in particular the Expert Meetings on Lethal Autonomous Weapons Systems (LAWS). Early skepticism towards the use of AWS brought a potential ban to the forefront of policy making decisions with the support of a campaign to 'Stop Killer Robots' launched by the Human Rights Watch (HRW) in 2013. The movement is supported by Amnesty International, Pax Christi International, and the International Peace Bureau, among others. This campaign has catalyzed an international regulation process on the level of the United Nations (UN). Both a new protocol to the Convention on Conventional Weapons or a new international treaty have been considered. However, a lack of consensus stalls the process, and as such, leaves AWS in a regulatory gray zone.
Keywords
autonomous weapons, killer robots, AWS, cyber warfare, policy analysis

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MLA
De Stercke, Celien. “To Ban or Not to Ban : Analyzing the Banning Process of Autonomous Weapon Systems.” JOURNAL OF SCIENCE POLICY & GOVERNANCE, vol. 21, no. 1, 2022, doi:10.38126/JSPG210102.
APA
De Stercke, C. (2022). To ban or not to ban : analyzing the banning process of autonomous weapon systems. JOURNAL OF SCIENCE POLICY & GOVERNANCE, 21(1). https://doi.org/10.38126/JSPG210102
Chicago author-date
De Stercke, Celien. 2022. “To Ban or Not to Ban : Analyzing the Banning Process of Autonomous Weapon Systems.” JOURNAL OF SCIENCE POLICY & GOVERNANCE 21 (1). https://doi.org/10.38126/JSPG210102.
Chicago author-date (all authors)
De Stercke, Celien. 2022. “To Ban or Not to Ban : Analyzing the Banning Process of Autonomous Weapon Systems.” JOURNAL OF SCIENCE POLICY & GOVERNANCE 21 (1). doi:10.38126/JSPG210102.
Vancouver
1.
De Stercke C. To ban or not to ban : analyzing the banning process of autonomous weapon systems. JOURNAL OF SCIENCE POLICY & GOVERNANCE. 2022;21(1).
IEEE
[1]
C. De Stercke, “To ban or not to ban : analyzing the banning process of autonomous weapon systems,” JOURNAL OF SCIENCE POLICY & GOVERNANCE, vol. 21, no. 1, 2022.
@article{8768581,
  abstract     = {{Over the last decade, autonomous weapon systems (AWS), also known as ‘killer robots’, have been the subject of widespread debate. These systems impose various ethical, legal, and societal concerns with arguments both in favor and opposed to the weaponry. Consequently, an international policy debate arose out of an urge to ban these systems. AWS are widely discussed at the Human Rights Council debate, the United Nations General Assembly First Committee on Disarmament and International Security, and at gatherings of the Convention of Conventional Weapons (CCW), in particular the Expert Meetings on Lethal Autonomous Weapons Systems (LAWS). Early skepticism towards the use of AWS brought a potential ban to the forefront of policy making decisions with the support of a campaign to 'Stop Killer Robots' launched by the Human Rights Watch (HRW) in 2013. The movement is supported by Amnesty International, Pax Christi International, and the International Peace Bureau, among others. This campaign has catalyzed an international regulation process on the level of the United Nations (UN). Both a new protocol to the Convention on Conventional Weapons or a new international treaty have been considered. However, a lack of consensus stalls the process, and as such, leaves AWS in a regulatory gray zone.}},
  articleno    = {{JSPG210102}},
  author       = {{De Stercke, Celien}},
  issn         = {{2372-2193}},
  journal      = {{JOURNAL OF SCIENCE POLICY & GOVERNANCE}},
  keywords     = {{autonomous weapons,killer robots,AWS,cyber warfare,policy analysis}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{9}},
  title        = {{To ban or not to ban : analyzing the banning process of autonomous weapon systems}},
  url          = {{http://doi.org/10.38126/JSPG210102}},
  volume       = {{21}},
  year         = {{2022}},
}

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