As AI-driven systems increasingly power early warning alerts for floods, wildfires, pandemics, and financial shocks, ensuring the reliability, accuracy, and accountability of these warnings becomes critical. This question invites expert input on the design of robust verification protocols for AI-generated early warning signals—addressing algorithm transparency, data provenance, false positive/negative thresholds, and decision traceability. Contributors are encouraged to explore how these protocols can align with regulatory standards, international risk governance frameworks, and the operational needs of emergency responders and sovereign risk platforms.