Norms Are What Machines Make of Them: Autonomous Weapons Systems and the Normative Implications of Human-Machine Interactions

Author:

Huelss Hendrik1ORCID

Affiliation:

1. University of Kent

Abstract

Abstract The emergence of autonomous weapons systems (AWS) is increasingly in the academic and public focus. Research largely focuses on the legal and ethical implications of AWS as a new weapons category set to revolutionize the use of force. However, the debate on AWS neglects the question of what introducing these weapons systems could mean for how decisions are made. Pursuing this from a theoretical-conceptual perspective, the article critically analyzes what impact AWS can have on norms as standards of appropriate action. The article draws on the Foucauldian “apparatus of security” to develop a concept that accommodates the role of security technologies for the conceptualization of norms guiding the use of force. It discusses to what extent a technologically mediated construction of a normal reality emerges in the interplay of machinic and human agency and how this leads to the development of norms. The article argues that AWS provide a specific construction of reality in their operation and thereby define procedural norms that tend to replace the deliberative, normative-political decision on when, how, and why to use force. The article is a theoretical-conceptual contribution to the question of why AWS matter and why we should further consider the implications of new arrangements of human-machine interactions in IR.

Publisher

Oxford University Press (OUP)

Subject

Sociology and Political Science

Reference83 articles.

1. “How Ideas Spread: Whose Norms Matter? Norm Localization and Institutional Change in Asian Regionalism.”;Acharya;International Organization,2004

2. “Future Warfare and the Decline of Human Decisionmaking.”;Adams;Parameters,2001

3. “Arms Control for Armed Uninhabited Vehicles: An Ethical Issue.”;Altmann;Ethics and Information Technology,2013

4. “Data Derivatives: On the Emergence of a Security Risk Calculus for Our Times.”;Amoore;Theory, Culture & Society,2011

5. “Doubtful Algorithms: of Machine Learning Truths and Partial Accounts.”;Amoore;Theory, Culture & Society,2018

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