51. How Multimodal AI Could Retool Global Crisis Response
- Author:
- Ben Ellencweig, Jessica Lamb, Jon Spaner, and Mihir Mysore
- Publication Date:
- 06-2024
- Content Type:
- Policy Brief
- Institution:
- Belfer Center for Science and International Affairs, Harvard University
- Abstract:
- Imagine this future scenario: as a hurricane develops, both its intensity and the timing of landfall are recalculated every hour on desktop-grade computers. The nature of the impact, including noncorrelated crises that may occur and second-order effects of the hurricane, are modeled through multiple scenarios on city-scale digital twins that have property-level granularity. The output of these simulations results in a clear set of trigger-based action plans that are tailored, verified through human-in-the-loop mechanisms, and sent to emergency responders, community leaders, government agencies, and potentially even residents in affected areas. Community leaders have access to tools that allow them to understand what to expect, what resources to leverage, and what actions may make the most difference. Homeowners receive targeted suggestions of how to protect their assets, avoid falling victim to fraud, and navigate post-disaster support. Disinformation campaigns get countered by fact-based automated outreach.
- Topic:
- Security, Science and Technology, Crisis Management, Artificial Intelligence, and Disinformation
- Political Geography:
- Global Focus