Abstract
With military weapon systems getting more and more improved by artificial intelligence and states competing about the leading role in this development, the question arises how arms control measures can be applied to decrease this equipment spiral. The ongoing debates on cyber weapons have already highlighted the problems with controlling or limiting digital technologies, not to mention the dual use problems. While still in an early stage, this chapter develops possible approaches for AI arms control by considering the different life cycle steps of a typical AI enabled system, based on lessons learned from other arms control approaches. It will discuss the different starting points, their arms control potential as well as its limitations to provide a holistic perspective for necessary further develops and debates.
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Experience from civilian applications has shown, however, that datasets struggle with unrecognized biases. If, for example, the dataset scarcely features people of color but focuses on white males, the AI might struggle to recognize black faces (Buolamwini & Gebru, 2018). However, it is not the aim of arms control to check used datasets for biases but to prevent the use of certain datasets which could be used for undesired weapon systems.
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Reinhold, T. (2022). Arms Control for Artificial Intelligence. In: Reinhold, T., Schörnig, N. (eds) Armament, Arms Control and Artificial Intelligence. Studies in Peace and Security. Springer, Cham. https://doi.org/10.1007/978-3-031-11043-6_15
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DOI: https://doi.org/10.1007/978-3-031-11043-6_15
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