Applications are open: Shape the future of Responsible AI-Funding for Winning Teams

Applications are open: Shape the future of Responsible AI-Funding for Winning Teams


 

A worldwide innovation problem is asking on researchers, technologists, and changemakers to form the future of Responsible AI. The GenAI for Good Challenge, co-designed by IEEE Humanitarian Technologies and the International Telecommunication Union (ITU), empowers groups worldwide to develop AI options that ship real-world influence in well being, agriculture, and local weather resilience.

With as much as USD $25,000 in funding for successful groups and the alternative to deploy options alongside UN companies, this problem is designed to maneuver promising concepts past the lab and into communities.


About the Challenge

Built on the open-source GENIE.AI framework, the problem helps innovators in creating scalable, accountable AI prototypes that handle use circumstances recognized by ITU’s in-country collaborations and native ecosystems.

This isn’t just an innovation dash—it’s a structured path towards deployment, influence, and world collaboration.


Focus Areas

Participants will deal with pressing challenges throughout three vital domains:

1. Agriculture Extension Chatbot

Country: Lesotho

A mobile-friendly AI chatbot providing farmers and agricultural advisors  in Lesotho real-time recommendation, crop alerts, and market steering—through voice, textual content, and primary telephones.

2. Non-Communicable Diseases (NCD) Prevention Chatbot

Country: The Gambia

A multilingual AI chatbot delivering evidence-based, personalization steering to assist Gambians stop and handle persistent well being dangers like hypertension and tobacco use.

3. Extreme Weather Advisor

Country: Bangladesh

An AI-powered assistant that helps Bangladeshi farmers put together for droughts with localized climate alerts, water-saving ideas, and crop-specific danger steering.


Why Apply?

✔ Real Deployment with UN Agencies

Winning groups could have the alternative to pilot their options with:

  • World Health Organization (WHO)
  • Food and Agriculture Organization (FAO)
  • World Meteorological Organization (WMO)
    Deployment will rely upon the chosen use case.

This is a uncommon alternative to check and implement improvements through an lively world deployment pipeline, translating prototypes into community-level influence.

✔ Funding Support

  • Up to $25,000 in funding per successful group to advance prototypes and assist deployment readiness.

✔ Work with Global Expert Networks

Collaborate with:

  • IEEE Humanitarian Technologies
  • ITU AI for Good
  • UN in-country workplaces
    Gain entry to deep technical experience, subject information, and accountable AI greatest practices.

✔ Structured, Impact-Driven Program

The problem is designed to assist groups:

  • Develop accountable generative AI techniques
  • Validate use circumstances with area consultants
  • Build deployable prototypes
  • Prepare for real-world adoption and scale

✔ Create Meaningful Community Impact

Work on challenges immediately affecting populations worldwide—advancing human-centered AI that improves lives.


Program Timeline

Application Deadline: 1 December 2025

The GenAI for Good Challenge unfolds by a number of phases, from application and knowledgeable analysis to prototyping, refinement, and ultimate deployment with UN companions.

Each part is designed to maneuver your concept step-by-step towards real-world implementation.


Who Should Apply?

  • AI researchers and technologists
  • Innovators, engineers, and builders
  • Social influence practitioners
  • Interdisciplinary groups working at the intersection of AI and public good
  • Students, early-career professionals, and established practitioners

Participation is world, and groups from numerous backgrounds are inspired to apply.


How to Get Involved

Applications are now open.
Join the problem shaping the subsequent era of Responsible AI and assist construct options that create measurable group influence.

Get extra data: Click Here


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Applications are open: Shape the future of Responsible AI-Funding for Winning Teams

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