What AI Changes for Open Source Risk and Resilience

Open source platforms underpin critical work in disaster risk management, climate resilience, and humanitarian response. Tools like DELTA, MapX, the Risk Data Library, and the Resilient Planet Data Hub depend on sustained maintenance, community contribution, and interoperable standards to function as reliable infrastructure. AI is now reshaping this landscape in contradictory ways: improving code quality, reducing maintenance burden, and enabling new modelling and analytics capabilities on one hand, while introducing structural pressures on the open source ecosystem these tools depend on, on the other. This session brings together the people building and sustaining these platforms alongside open source policy, DPG standards, and funding perspectives to examine what AI actually changes for open source risk and resilience tools, and what needs to be in place for that change to be sustainable.

Partners: UNICEF, Digital Public Goods Alliance (DPGA)