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The GenAI for Good Challenge, run by IEEE in collaboration with the ITU, funds technologists and innovators building open-source generative AI solutions for pressing development challenges in the Global South, focused on health, agriculture, or climate resilience and aligned with the UN Sustainable Development Goals.
Selected teams receive up to $25,000 plus cloud environments and structured support from prototype to real-world deployment, leveraging the ITU GENIE. AI framework for public-sector AI. Example focus areas include agricultural extension chatbots, non-communicable disease prevention systems, and extreme-weather advisory platforms.
The program uses a two-phase structure: narrative proposals followed by functional prototype development for finalists.
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Or search similar grants →According to the current listing, eligibility includes: Teams building open-source generative AI solutions addressing health, agriculture, or climate resilience challenges in the Global South, aligned with the UN SDGs. Confirm the full requirements in the official notice before applying.
The current listing shows up to $25,000 USD per team, plus cloud environments, mentorship and deployment support. Verify award ceilings, matching requirements, and allowable costs in the official notice.
GenAI for Good Challenge for Open-Source Generative AI Solutions in Global South Health, Agriculture and Climate is funded by IEEE and International Telecommunication Union (ITU). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.