Utilizing Artificial Intelligence for Detection, Delay and Response of Chemical, Biological, Radiographical and Nuclear Threats

Abstract

According to United Nations Resolution 1540 (2004), the proliferation of nuclear, chemical, and biological weapons, as well as their means of delivery, constitutes a threat to international peace and security. The defense and maintenance of appropriate and effective border controls and law enforcement efforts are essential to detect, deter, prevent, and combat this threat. Cooperation between the state and domestic authorities is seen as a necessity in addressing this problem. In the modern world, this functionality involves the significant involvement of modern technology. Although the full potential of AI is yet to be realized, the utilization of AI for the benefit of these processes cannot be underestimated. This research problematizes the necessity created among CBRN proliferation, AI, and border security. The methodology used will be qualitative, as it is a securityrelated problem area. The authors expect to gather data from experts in the field. The data will be interpreted using theories of border security. Findings, including the handling of dual-use goods and suggestions for detection, delay, and response (DDR), will be published as policy recommendations for state authorities to use in security policymaking.