Resilience and AI
This project investigates how artificial intelligence can support resilience planning in the face of environmental, social, and economic risks.
Developed as part of the SafeGuard Certification (SGC) framework at MIT’s Department of Urban Studies and Planning, the project explores how AI can be used to model complex systems, map vulnerabilities, and inform adaptive strategies at community and regional levels.
The focus is not on automation for its own sake, but on context-aware, ethical applications of AI that empower human decision-making, local knowledge, and collective agency. This includes processing geospatial, environmental, and socioeconomic data to guide planning, early warning systems, and resource allocation—while critically assessing AI's limitations, biases, and governance risks.
SafeGuard combines advanced data analytics with human-in-the-loop design to provide real-time resilience scoring, certification, and action plans.
By integrating AI, ESG frameworks, and participatory methodologies, SGC offers a scalable, affordable, and inclusive solution for communities most exposed to climate and systemic threats—turning data into resilience, and risk into opportunity.