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[Webinar] Traceable AI for Public Data: An Open Model for Latin America
Join OKFN and the UN Big Data Regional Hub to learn about our ongoing experiments integrating AI to public open data portals
MCP for Open Data Portals: Trust Depends on Understanding the Data
Early lessons from OKFN’s Brazil and Uruguay pilots on what it takes to make AI-generated answers traceable, useful, and trustworthy
New Uruguay/OKFN Partnership: Scaling reliable AI for open data across Latin America
Together with AGESIC, we are piloting a traceable AI system with Uruguay’s open data catalogue – so that citizens can receive verifiable answers from national data
Recap: What We Learned About Climate and AI from Our First Roundtable
The kick-off of AI Learning Labs brought the community together for a wide-ranging discussion lasting over two hours; here are the video recording and highlights
How can we build a responsible climate chatbot?
In one of our very first AI Learning Labs projects, we are teaming up to explore how to design a chatbot that draws on reliable science and systemic social analysis
Brazil and OKFN partner to enable citizens to ‘talk’ to national data
Together, we are developing a tool that will bring public data closer to citizens, allowing them to get data by simply asking a question.
Introducing OKFN’s AI Learning Labs
We are partnering with organisations on high-impact social issues to experiment with AI and develop replicable methods together; you can join us