The increasing use of AI systems in disaster management represents a dual-edged sword: it can enhance efficiency and accuracy but also introduce data biases affecting poorer regions.
The UN’s Early Warnings for All Initiative aims for universal early-warning systems by 2027, yet only 52% of nations had access by 2023, with disparities for poorer countries.
To fully harness AI in early-warning systems, there's a critical need for internationally agreed standards that define data collection, algorithm training, and accountability mechanisms.
Establishing clear responsibilities and best practices for the use of AI in disaster management is essential for fostering trust and ensuring equitable benefits across all regions.
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