Abstract As peer-to-peer prediction markets increasingly allow real-money wagering on environmental events, public scientific agencies are being drawn into the role of financial “settlement oracles,” the designated sources of truth against which contracts resolve. The purpose of the present paper is to examine the ethical and operational risks that follow when AI-accelerated hydrologic forecasting becomes the settlement basis for such markets, with attention to flood and drought management.
