This in-person workshop spotlights real results from deploying open source Generative AI across three nations that are effectively transforming public services in health, agriculture, and climate resilience. Built on the first-ever GenAI for Good Challenge, it cuts through theory and goes straight to what matters: concrete pilots, operational lessons, and early impact already taking shape on the ground.

The GenAI for Good Challenge, jointly led by ITU, IEEE Humanitarian Technologies, UN agencies, and participating governments, roots its use cases in national priorities and the United Nations Sustainable Development Goals. Selected teams move fast through an accelerated three-month pilot sprint, taking their solutions from concept to scaled field deployment. One winner per focus area then launches full pilots under real operational conditions. During this session, we will also be announcing the winners of the GenAI for Good Challenge.

As AI evolves at breakneck speed, the workshop makes one message clear: mission-driven, values-aligned partnerships are essential to turn Generative AI into digital public goods, build resilient public infrastructure, and ensure no community is left behind.

Taking place on July 09, at 2pm CET, this workshop will conclude with a networking cocktail reception, offering participants the opportunity to continue discussions, exchange insights, and explore potential collaborations.

Speakers include:

• Linda Raftree, MTI;
• Gerard Sylvester, FAO;
• Alexandra Machado, Red Hat;
• Grayson Randall, IEEE;
• Mary Ellen Randall, IEEE;
• Mariela Machado Fantacchiotti, IEEE;
• Cosmas Luckyson Zavazava, ITU;
• David Manset, ITU;
• Amreen Taneja, DPGA