OpenAI has launched the "AI Jam for Disaster Management" in Bangkok, a strategic workshop designed to bridge the gap between theoretical artificial intelligence and frontline emergency response. Partnering with the Bill & Melinda Gates Foundation and the Asian Disaster Preparedness Center, the initiative gathered officials from 13 countries to prototype practical applications for regional crises. This move signals a shift from broad AI interest toward the deployment of specialized tools within resource-constrained environments.

The workshop focused on building custom GPTs—tailored versions of generative models—to streamline fragmented data and manual processes that often delay decision-making during natural disasters. By utilizing these tools for situation reporting and communication, response teams aim to mitigate impact in Asia, the world’s most disaster-prone region. Previous events saw a 17-fold increase in AI usage during crises, suggesting that populations already view these tools as vital information sources during emergencies.

This initiative is part of the "OpenAI for Countries" program, emphasizing institutional trust and responsible deployment. Future phases will involve pilot deployments and technical collaboration to transform satellite data and earth observation into actionable insights, shortening the window between disaster onset and effective relief. By embedding AI directly into operational workflows, the program seeks to empower local agencies with high-speed coordination capabilities.

OpenAI has launched the "AI Jam for Disaster Management" in Bangkok, a strategic workshop designed to bridge the gap between theoretical artificial intelligence and frontline emergency response. Partnering with the Bill & Melinda Gates Foundation and the Asian Disaster Preparedness Center, the initiative gathered officials from 13 countries to prototype practical applications for regional crises. This move signals a shift from broad AI interest toward the deployment of specialized tools within resource-constrained environments.

The workshop focused on building custom GPTs—tailored versions of generative models—to streamline fragmented data and manual processes that often delay decision-making during natural disasters. By utilizing these tools for situation reporting and communication, response teams aim to mitigate impact in Asia, the world’s most disaster-prone region. Previous events saw a 17-fold increase in AI usage during crises, suggesting that populations already view these tools as vital information sources during emergencies.

This initiative is part of the "OpenAI for Countries" program, emphasizing institutional trust and responsible deployment. Future phases will involve pilot deployments and technical collaboration to transform satellite data and earth observation into actionable insights, shortening the window between disaster onset and effective relief. By embedding AI directly into operational workflows, the program seeks to empower local agencies with high-speed coordination capabilities.