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When Stigmatization Does Not Work: Over-securitization in Efforts of the Campaign to Stop Killer Robots

Publikace |
2023

Tento text není v aktuálním jazyce dostupný. Zobrazuje se verze "en".Abstrakt

This article reflects on securitization efforts with respect to 'killer robots', known more impartially as autonomous weapons systems (AWS). Our contribution focuses, theoretically and empirically, on the Campaign to Stop Killer Robots, a transnational advocacy network vigorously pushing for a pre-emptive ban on AWS.

Marking exactly a decade of its activity, there is still no international regime formally banning, or even purposefully regulating, AWS. Our objective is to understand why the Campaign has not been able to advance its disarmament agenda thus far, despite all the resources, means and support at its disposal.

For achieving this objective, we challenge the popular assumption that strong stigmatization is the universally best strategy towards humanitarian disarmament. We investigate the consequences of two specifics present in AWS, which set them apart from processes and successes of the campaigns to ban anti-personnel landmines, cluster munitions, and laser-blinding weapons: the complexity of AWS as a distinct weapons category, and the subsequent circumvention of its complexity through the utilization of pop-culture, namely science fiction imagery.

We particularly focus on two mechanisms through which such distortion has occurred: hybridization and grafting. These provide the conceptual basis and heuristic tools to unpack the paradox of over-securitization: success in broadening the stakeholder base in relation to the first mechanism and deepening the sense of insecurity in relation to the second one does not necessarily lead to the achievement of the desired prohibitory norm.

In conclusion, we ask whether it is not the time for a more epistemically-oriented expert debate with a less ambitious, lowest common denominator strategy as the preferred model of arms control for such a complex weapons category.