JSAI2020
Jun 9 - Jun 12, 2020Virtual Meetings
JSAI2020
Jun 9 - Jun 12, 2020Virtual Meetings
[1D4-GS-13-05]Why AI can be useful for responding to child abuse and neglectImplementation science from proof of concept to Evidence-Informed Policy Making
〇Kota Takaoka1, Jiro Sakamoto1, Emiho Hashimoto1, Daiki Hojo1,2,4, Yui Furukawa1,2, Manami Kikuchi1,2, Akihiro Sato1,5, Takehito Sakimitsu1,3, Naomi Yamamoto1, Akira Suzuki1(1. National Institute of Advanced Industrial Science and Technology (AIST), 2. University of Tokyo (Graduate School), 3. NPO Child First Lab., 4. JSPS Research Fellowship for Young Scientist, 5. Keio University)
Keywords:
Implementation Science,Probabilistic Modeling,Machine learning,SDGs,Child Abuse and Neglect
The number of reported child abuse cases has been dramatically increased in Japan. To support children and practitioners in the field, we developed AI, called “AiCAN” stand for Assistance of Intelligence for Child Abuse and Neglect, and we have been conducting the Proof of Concept (PoC) in a municipality, Japan. The purpose of the presentation is how AI would be useful for practitioners and policy making. AiCAN has two different algorithms such as machine learning and probabilistic modeling for different practitioners’ needs. As a result of the PoC, we found the AI could create the cycle of value-chain in the field. To develop AiCAN continuously, additional studies and agile development are required.