This article explores AI's integration into emergency management, identifying gaps and proposing a new framework.
This article examines the preparedness of emergency management (EM) for addressing questions pertaining to artificial intelligence (AI), encompassing its benefits to EM missions, the potential biases, the societal impacts, and more. We pinpoint two key shortcomings in early EM research on AI: (i) insufficient discussion of both AI's history and evolution; and (ii) a lack of frameworks for organising AI-related knowledge-building efforts. We offer a comprehensive survey of AI that is tailored for EM scholars and practitioners. Then, utilising the case of cyberspace and domain concept development, we explore the challenges of applying legacy ideas to disruptive technologies. We argue that current EM frameworks struggle to align with emerging technologies; as a result, we propose a new framework that bridges EM-specific concerns and broader social science inquiries and AI. This framework aims to facilitate research and practical efforts to navigate the complexities of AI technology within the context of EM.
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Whyte et al. (2026) studied this question.
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