Research on the Mechanism and Optimization Pathways of Artificial Intelligence Enabling Emergency Culture Construction

Abstract

By leveraging its technical advantages in data-driven decision-making, intelligent analysis, and dynamic optimization, artificial intelligence (AI) deeply aligns with the core demands of emergency culture construction, which include value dissemination, knowledge popularization, practical application, and effectiveness enhancement. It serves as a key enabler in addressing challenges such as fragmented communication, superficial practice, and lagging effectiveness in grassroots emergency culture promotion. Therefore, this paper constructs a four-dimensional analytical framework encompassing "intelligent value anchoring, precise communication coverage, practical and scenario-based cultivation, and smart effectiveness enhancement." This framework is used to analyze the enabling logic of AI: specifically, by using intelligent algorithms to convey emergency safety values, multimodal technologies to broaden communication boundaries, simulation and drills to improve practical capabilities, and data feedback to optimize construction effectiveness. Ultimately, this process contributes to forming a trinity empowerment system for grassroots emergency capabilities, integrating "concept, ability, and mechanism." However, the current field faces challenges such as algorithm bias leading to value distortion and the digital divide exacerbating service exclusion. It is necessary to promote the deep integration of AI and emergency culture through four pathways, including strengthening algorithm fairness calibration and enhancing the inclusivity and adaptability of technologies. This will provide practical guidance for strengthening the foundation of grassroots emergency capabilities.