Supplemental Materials - Leveraging Generative AI for Hazard Mitigation Planning: Insights from the Co-Design and Evaluation of Hazard Helper

These are the Supplemental Materials for the study "Leveraging Generative AI for Hazard Mitigation Planning: Insights from the Co-Design and Evaluation of Hazard Helper." This study is an initial, exploratory phase in a broader research program on responsible integration of Generative Artificial Intelligence (GenAI) into hazard mitigation planning. The goal is not to introduce a new AI model or evaluate algorithmic performance. Instead, the contribution is empirical, and suggestive of a replicable process (i.e., the three phases designed in the participatory co-design approach)[MS6.1][MS6.2][SC6.3][RP6.4]. We examine how emergency management professionals perceive and use a customized GenAI system within planning workflows. The research documents a co-design process, identifies institutional, ethical, and tensions in early adoption, and specifies conditions under which GenAI can support or impede planning. The findings underscore the importance of human-centered, co-designed, and governance-focused analysis of AI in the public sector.