UN turns to Google to make its global data ready for AI agents
The shift comes after a UNICEF test found leading AI models struggled to accurately retrieve global development statistics.
The United Nations is working with Google to create a new data platform that makes UN global statistics easier for AI systems to access and use through natural language queries. This matters because current AI language models perform poorly at retrieving reliable statistics, with one benchmark finding an average accuracy score of just 21.2% across six major models answering questions about global development. The new system supports a standard called the Model Context Protocol that allows AI agents to directly connect to data sources and trace information back to original UN sources. The UN plans to bring most of its statistical datasets onto the platform by 2027, though experts caution that providing AI systems with authoritative data does not guarantee their conclusions will be accurate.
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