Artificial Intelligence in Flood Disaster Early Warning: False Alarms and Missed Alarms-Formation Mechanisms and Governance Pathways

Abstract

Given the problems existing in traditional emergency plans (slow response, false alarms and missed alarms) it's an inevitable trend that by combining new information technologies such as big data, artificial intelligence, the Internet of Things and cloud computing with monitoring and providing early warning on emergencies to assist managers to make correct decisions in time. On the basis of the full life-cycle risk governance theory and the Technology Enactment Framework, we analyze the formation mechanism of false alarms and missed alarms in artificial intelligence-based flood early warning from the perspective of public administration; find out the shortcoming of current governance (lack of full-process control, barrier to cross-departmental collaboration, unclear division of rights and responsibilities, and inadequate grassroots implementation capacity); build targeted governance pathways from institutional design, coordination mechanisms, the rights and responsibilities system, and capacity building to provide ideas for achieving efficient, scientific, and intelligent governance of emergencies.