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How to retrieve trustworthy information from governmental open data portals?
As artificial intelligence increasingly becomes a primary interface for accessing information, ensuring that AI-generated responses are accurate, transparent, and grounded in trusted sources is increasingly important. Public institutions publishing open data face a new challenge: how to ensure that AI tools referencing their datasets provide verifiable and trustworthy answers.
We are building a technical bridge (using the Model Context Protocol) that connects AI directly to official data portals like CKAN, so that AI-generated responses can be traced back to their original datasets. This reinforces trust in public institutions, helps fight misinformation, makes open data more accessible for citizens and ensures that research or journalism based on that data is grounded in fact.
Key outputs
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Who is this for:
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This project is a collaborative initiative grounded in real-world challenges. Two pilot programmes are taking place in 2026 under the umbrella of the Digital Public Goods Alliance (DPGA) in partnership with national governments to become a reproducible and scalable reference of responsible and transparent AI integration with open data infrastructure.
Follow our progress, from research notes to community stories:
Brazil and OKFN partner to enable citizens to ‘talk’ to national data
'An Honest Reflection on the Integration of LLMs into Open Data Portals', by Patricio Del Boca
[Recording] Technical community consultation on MCPs and LLMs
Roundtable: 'CKAN at 20 and the Future of Open Data'
Announcement of Strategic Funding to Enhance Multilingual, Sector-specific AI Literacy and Develop Trustworthy AI for Open Data
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Open Knowledge’s AI Learning Labs is an initiative that aims to experiment with AI, translate knowledge from social sector organisations around the world, and produce public, multilingual AI-literacy resources tailored for organisations addressing similar issues elsewhere.
Together, we will catalyse learning and develop replicable methods to help organisations build AI skills, use AI responsibly, and develop their own AI projects. All resources will be openly available at School of Data.
Join the discussion on the Open Knowledge Forum
Practical links
CKAN is the world’s leading open source data management system. Created at OKFN two decades ago and a recognised digital public good (DPG) since 2023, CKAN is the backbone of open data infrastructure on every continent — powering national governments, intergovernmental bodies, and research institutions.
🎉 We are celebrating 20 years of CKAN with various activities throughout 2026.
This project has been made possible thanks to the generous support of the Patrick J. McGovern Foundation (PJMF). We are grateful for our ongoing partnership in promoting digital literacy and investing in AI for the public good.
Learn more about its funding programmes here.
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