Impact Funding Resources
A global challenge connecting innovators and changemakers to tackle real-world problems in health, agriculture, and climate resilience. Join a global open-source GenAI community of practice, learn about public sector use cases for generative AI, hear from public sector stakeholders and development partners, leverage the GENIE.AI framework to develop cost-efficient and scalable solutions, build and test functional prototypes, and get feedback and guidance from practitioners, public sector stakeholders, and development partners.
End Date01 Dec 2025 Funding AmountUpto USD 25k Funding Resource TypeInnovation Award
Funding ProviderInternational Telecommunication Union,IEEE
Innovation Award
International Telecommunication Union,IEEE
Shape the Future of AI for Public Good
Powered by IEEE’s and ITU’s global reach, the GenAI for Good Challenge helps technologists and innovators team up with international partners, secure funding, connect with global networks, and build AI solutions with measurable impact on pressing global challenges.
• Tackle urgent global challenges in health, agriculture, and climate with AI that improves lives. Work on challenges that directly impact communities, creating opportunities for meaningful, human-centered outcomes.
• Build alongside IEEE HT, ITU, and global partners to develop responsible AI solutions with global impact. Collaborate with internationally trusted institutions leading the way in inclusive and globally impactful AI development.
• Advance your innovation through a structured process built for deployment and impact. Deploy your solution in partnership with organizations offering local and thematic expertise to support real-world implementation.
Focus Areas
1) Lesotho - Agriculture Extension Chatbot: A mobile-friendly AI chatbot offering farmers and extension workers in Lesotho real-time agriculture advice, crop alerts, and market guidance—via voice, text, and basic phones.
2) The Gambia - Non-Communicable Diseases (NCDs) Prevention Chatbot: A multilingual AI chatbot delivering evidence-based, personalization guidance to help Gambians prevent and manage chronic health risks like hypertension and tobacco use.
3) Bangladesh - Extreme Weather Advisor: An AI-powered assistant that helps Bangladeshi farmers prepare for droughts with localized weather alerts, water-saving tips, and crop-specific risk guidance.
Application and Evaluation Details
The challenge will run in two phases. Phase One invites applicants to submit narrative proposals outlining their solution design, implementation approach, expected impact, and the innovations they bring to the baseline framework. Phase Two requires finalists to build functional prototypes in dedicated cloud environments provided by the organizers.
All submissions and resulting solutions must be open-sourced, promoting transparency and collaborative innovation. A multi-disciplinary jury—including IEEE and ITU staff, country stakeholders, domain experts, and technology partners—will evaluate entries based on predefined criteria, which will be published at the start of each phase.
