Report: “National Archives Wants to Use AI to Improve ‘Unsophisticated Search’ and Create ‘Self-Describing Records’”
The National Archives and Records Administration—the keepers of all government records—manages millions of digital records. But users have trouble finding the records they’re looking for, and the current manual metadata tagging processes aren’t sufficient.
The agency recently held a virtual informational day outlining its goals for integrating artificial intelligence and machine learning into two ongoing projects: personalizing the catalog search function and automating metadata tagging.
While NARA employees add metadata tags to digital records, “There is a delta between what NARA has been able to describe and the specific information that users want from our records,” the RFI states, asking, “Can AI fill the gap?”
The RFI is seeking feedback on automated solutions that can analyze how users search the digital archives and associate those search terms with the appropriate record.
About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.