The Weaponization of Computer Vision: Tracing Military-Surveillance Ties through Conference Sponsorship

πŸ“… 2026-04-09
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This study addresses the often-overlooked dual-use implications of computer vision technologies in military and surveillance applications by examining sponsorship relationships at top-tier academic conferences. Through systematic collection of sponsor data, corporate background investigations, and case studies, the authors construct and analyze a dataset mapping sponsors’ ties to military and surveillance sectors. The findings reveal that 44% of conference sponsors are directly involved in such activities. Two illustrative case studies further demonstrate how sponsorship mechanisms reflect broader pathways of technology weaponization. The work proposes integrating conference sponsorship into AI ethics review frameworks, offering a novel lens for tracing the societal impacts of artificial intelligence technologies.
πŸ“ Abstract
Computer vision, a core domain of artificial intelligence (AI), is the field that enables the computational analysis, understanding, and generation of visual data. Despite being historically rooted in military funding and increasingly deployed in warfare, the field tends to position itself as a neutral, purely technical endeavor, failing to engage in discussions about its dual-use applications. Yet it has been reported that computer vision systems are being systematically weaponized to assist in technologies that inflict harm, such as surveillance or warfare. Expanding on these concerns, we study the extent to which computer vision research is being used in the military and surveillance domains. We do so by collecting a dataset of tech companies with financial ties to the field's central research exchange platform: conferences. Conference sponsorship, we argue, not only serves as strong evidence of a company's investment in the field but also provides a privileged position for shaping its trajectory. By investigating sponsors' activities, we reveal that 44% of them have a direct connection with military or surveillance applications. We extend our analysis through two case studies in which we discuss the opportunities and limitations of sponsorship as a means for uncovering technological weaponization.
Problem

Research questions and friction points this paper is trying to address.

computer vision
military
surveillance
weaponization
dual-use
Innovation

Methods, ideas, or system contributions that make the work stand out.

computer vision
military-surveillance ties
conference sponsorship
dual-use technology
technological weaponization
Noa Garcia
Noa Garcia
Osaka University
computer visionmachine learning
A
Amelia Katirai
University of Tsukuba, Japan