"AI Technology for Safer Integrated Analysis of Data Held by Multiple Organizations"
Improving the accuracy of Artificial Intelligence (AI) analysis requires collecting sufficient data without distribution bias. AI technology gathers data dispersed across multiple institutions. It must safely perform integrated analysis while keeping certain information, such as personal information, confidential. Researchers from the University of Tsukuba have developed a secure AI technology called "non-readily identifiable data collaboration analysis," which shares only abstract data that cannot be easily identified with the original data and enables the integrated analysis of personal information held by multiple parties, including businesses, local governments, hospitals, and other entities. This article continues to discuss the secure AI technology developed by researchers at the University of Tsukuba.