Traceable AI Answers for Public Data

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 sources. 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.

Partners

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.

More info...

For more information visit the official page (TBD) of the innitiative.