UN launches AI-ready data platform with Google support

United Nations partners with Google to make global statistics accessible to AI systems through new UN System Data Commons platform built on open-source technology.

A neutral summary of UN turns to Google to make its global data ready for AI agents, published by TechCrunch. Summarised for the Ceeve reading list; the original reporting is TechCrunch's.

The United Nations announced on Thursday that it is working with Google to make UN global statistics accessible to AI systems. The UN System Data Commons, built on Google's Data Commons platform, allows users to search statistics from across UN agencies using natural-language queries and supports the Model Context Protocol, enabling AI systems to connect directly to data sources. The platform replaces UNData, a traditional database interface.

A UNICEF benchmark tested six large language models on over 133,000 questions about global development indicators and found an average accuracy score of just 21.2%. About three in five responses provided no usable number, often because models hedged answers. When the same models answered identical questions two days later, those providing numbers returned consistent results only about half the time. The study, a UNICEF working paper, has not yet undergone peer review.

UNICEF has reported a 67% year-over-year rise in traffic from ChatGPT referrals to its data website, which receives more than 6 million monthly visits. The UN said 26 entities have committed to the Data Commons, with data from nearly 20 available at launch, and aims to add 80% of the UN system's statistical datasets by 2027. Google.org provided $2 million in funding and technical support. Job-seekers in data management and UN roles should note the shift towards AI-ready infrastructure that Ceeve can help tailor to emerging requirements in the sector.

Read the original on TechCrunch

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