Deploy AI for Faster Disaster ResponseBut what if the algorithm is biased?

Imagine AI directing life-saving supplies in a crisis, getting them to people faster than ever. By 2026, predictive models will use real-time data to allocate resources during natural disasters. This technology could revolutionize emergency response, but it comes with a risk. If the AI is trained on biased historical data, it could unintentionally neglect marginalized communities. We must design ethical frameworks and maintain human oversight to ensure this powerful tool saves lives fairly, without automating inequity.

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