AI and geospatial data can improve preparedness and response to natural hazards and complex emergencies. Examples range from using deep learning to assess the damage on satellite imagery, developing machine learning models to predict humanitarian impact, or identifying hotspot areas where conflict and hazards coincide. Though the use of AI and geospatial data has benefits, its use risks doing harm to the very people it seeks to support. Risks can result from biases inherent in using geospatial data and AI. Risks also arise due to the fact that transparency and accountability shift when there is a greater reliance on big data and AI. The hype and inflated expectations around AI might also lead to a reliance on immature technologies, especially detrimental when scaling from pilot to national ..