Responsible AI Deployed for Good
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.
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300 APPLICATIONS RECEIVED PHASE 2 LAUNCHES IN JANUARY 2026 |
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Up to $25,000
Funding for Winning Teams
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3 Focus Areas
Health, Agriculture & Climate
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Global
Real-world Deployment
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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.
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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.
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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.
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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.
Visit the RESOURCE HUB to access key reference materials.
Focus Areas
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.
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.
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.
Key Dates of The Challenge
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Applications open: 7 October 2025
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Public Launch: 8 October 2025
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Online information sessions: 13 and 14 October 2025
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Application deadline: 1 December 2025
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Finalists notified: January 2026
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Winners announced: April 2026
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.
More details about the application process and evaluation criteria are availble on the use case application pages:
Supported by the Open Source Ecosystem Enabler Initiative
The GenAI for Good Community Challenge is supported by the
Open Source Ecosystem Enabler (OSEE) initiative, reflecting OSEE’s mission to strengthen digital capacity and foster open, collaborative innovation. By connecting global innovators with public sector needs, the Challenge serves as a concrete outcome of OSEE’s work to mobilize open source for digital public services.
Related Communications
ITU.
Circular D22-BDT-CIR-0085:
Launch of the ITU-IEEE GenAI for Good Challenge - Applications open from 7 October 2025. International Telecommunication Union, 2025-10-01. Available online:
https://www.itu.int/md/D22-BDT-CIR-0085/en.