Support in decision-making via an application offering AI insight from analysis of six years of data

A support system was developed that consists of the AiCAN (Assistance of intelligence for Child Abuse and Neglect) tablet application, a cloud database ensuring secure data storage and sharing, and AI for data analysis applications, including probabilistic modeling developed by AIST. With this system, digitization of six years of abuse records at child guidance centers enables real-time analysis applying machine learning, probabilistic modeling, and other AI. When information about a child is entered for a new case, users are immediately presented with estimates of the severity of abuse and likelihood of recurrence, based on analysis of previous cases. This can help staff members at child guidance centers make prompt decisions applying past knowledge. Through the application, they can also document and share information from the field, which accelerates and streamlines sharing and storing of data at the center and with relevant organizations.