[1D4-GS-13] AI application: Social issues

[1D4-GS-13-05] Why AI can be useful for responding to child abuse and neglect

Implementation science from proof of concept to Evidence-Informed Policy Making

〇Kota Takaoka¹, Jiro Sakamoto¹, Emiho Hashimoto¹, Daiki Hojo^1,2,4, Yui Furukawa^1,2, Manami Kikuchi^1,2, Akihiro Sato^1,5, Takehito Sakimitsu^1,3, 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.