Digital systems can help citizens and businesses understand and comply with regulation, but regulatory rules and guidelines are not written in language that digital systems can understand. Therefore, developing artificial neural network algorithms that convert regulations written in legal terms into language that digital systems can understand is key to providing AI-based administrative services. This study will develop an AI-based smart regulatory verification mobile app that will make it easier to understand and interpret complex regulations and upgrade them through reinforcement learning.
Monthly fora in which to share knowledge and expertise on AI-based RegTech by inviting experts in regulatory studies, artificial intelligence, machine learning, law and etc.
1st Forum
"How to classify regulations for AI-based RegTech"
Prof. Moo-Hyun Choi (Sangji University)
6 August 2021
Dr Seung-Hun Hong (Korea Institute of Public Administration)
Dr Ha Hwang (Korea Institute of Public Administration)
Asso. Prof. Mamoun Alazab (Charles Darwin University)
Assis. Prof. Jungwon Park (Andong National University)
Dr Jonghun Chae (Korea Institute of Public Administration)
Dr Hojin Choi (Korea Institute of Public Administration)
This research is funded by the National Research Foundation of Korea's 2021 Humanities and Social Sciences Grant from July 2021 through June 2024.