Opening Data for AI Innovation
March 2026
4 sessions
About the Series
Opening Data for AI Innovation is a four-part series for public professionals exploring how to make data more accessible and interoperable to support responsible AI development, while protecting privacy, security, and public trust.
As AI tools increasingly rely on shared and connected datasets, governments face growing pressure to open data in ways that enable innovation without creating new risks. This series helps public sector teams understand how open data can serve as critical infrastructure for AI, and what it takes to design, govern, and apply data systems that are usable, secure, and accountable.
This series is offered in collaboration with the Govlab and The Data Stewards Academy
Opening Data for AI InnovationBuilding AI-Ready Open Data
Examine what makes datasets usable for AI, including key design features, interoperable data ecosystems, and governance practices that support secure, responsible reuse.
Opening Data for AI InnovationUsing AI to Make Open Data Useful: Lessons from the City of Boston
Learn from a real-world case in the City of Boston that shows how governments can enable AI access to open data through controlled, standardized interfaces—scaling use while maintaining security, consistency, and public oversight.
Opening Data for AI InnovationOpen Data as a Foundation for AI Innovation
Build a shared understanding of open data and its role in AI, identify common legal, technical, and cultural barriers to data sharing, and explore where opening data can create public value.