Blog by Beth Noveck: “…As The GovLab’s Open Data Policy Lab notes(opens in new window): open and accessible government data can “improve the quality of the generative AI output but also help expand generative AI use cases and democratize access to open data.”
By opening up their own data(opens in new window), governments can build new and better services for all of us. In Indiana, for example, the Indiana.gov(opens in new window) assistant sits on top of agency documents and databases. Instead of sending residents spelunking through PDFs, it answers questions in plain language and points to the right form or program, thanks to the underlying information that has been cleaned up and exposed in ways a model can use.
South Korea’s AI Hub has already provided millions of records to train applications like TTCare(opens in new window), a mobile application to analyze eye and skin disease symptoms in pets. The app’s AI model was trained on roughly one million pieces of data—half of which came from the South Korean government’s AI Hub.
In Abu Dhabi, Bayaan(opens in new window) ingests official statistics and lets policymakers pose natural-language questions—“How did youth unemployment change after 2022?”—and get back charts and citations that trace every claim to the source. The output is useful because it’s accountable to public data.
With secure access to administrative data from the UK Biobank and validated against Denmark’s national health records, European researchers built the Delphi-2M Model(opens in new window). Delphi doesn’t just predict whether someone might get cancer or diabetes; it can simulate the course of more than a thousand diseases over a lifetime. That kind of leap is only possible because governments invested in collecting, standardizing, and securely sharing their data…(More)”.
