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LEARN > AI
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Attendees join us for a live A.I. and art demos, and fascinating, funky speakers with the finest folks in tech, art, and politics D.C. has to offer. More...

This paper advocates for prioritizing data provenance—documenting a dataset's origin, transformation, ownership, access, and use throughout its lifecy… More...

The Data Foundation held an AI virtual forum titled “Data Policy in the Age of Artificial Intelligence,” bringing together experts to discuss key chal… More...

Wed., Aug. 20: Attendees joined the Data Foundation for a dynamic virtual forum focused on the intersections of data, policy, and artificial intellige… More...

JULY 2025 - RE: Data Foundation Response to the American Science Acceleration Project (ASAP) Request for Information (RFI) More...

As public servants and the private sector seek to integrate AI systems, prompting frameworks can offer a foundation for consistent, effective interact… More...

Data Foundation's ASAP response: Scientific acceleration is a data challenge. Recommends $25M NSDS investment, enhanced CDO capacity, Evidence Act imp… More...

Shifting From "Can We?" to "Should We?" – A Framework for State Chief Data Officers More...

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Data Foundation explainer of data provisions in the One Big Beautiful Bill (OBBB): investments, verification systems, and policy priorities. More...

The Data Foundation hosted an important webinar to explore the challenges and opportunities presented by AI, always with a focus on robust, ethical da… More...

Press Release: Data Foundation Launches Guide to Support Use of Data for AI More...

The guide from the Data Foundation will help assess whether potential uses, policies, and laws related to AI clearly articulate important aspects rela… More...

Attendees joined members of the Data Coalition’s AI Task Force for a discussion of the Data Foundation's brief on AI and its recommendations for gover… More...

As Government Considers Widespread AI Adoption More...

As Government Considers Widespread AI Adoption, New Report Emphasizes Need to Prioritize Data Readiness, More...

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