Law and AI

In collaboration with Prof. Noriko Okubo at Graduate School of Law and Politics, Osaka University, we are studying to automatically evaluate how green laws are enforced in different countries.

Green laws’ participation principle consists of 1) the information access right, 2) participation in the policy decision process, 3) the judicial access; however, actual implementation varies country to country, and legal methodologies have been explored for evaluating their effectiveness. This work investigates legal evaluation criteria on the green laws’ participation principle, analyzes Japanese participation system’s pros and cons in a comparative perspective, and propose some recommendations to establish the environmental democracy.

The difficulty lies in how to automatically find out related legislations, cases, statutes, etc. in different languages. As the first attempt, we proposed a method for identifying the topic of such legal documents through analyzing citation networks in addition to classic topic modeling. The figure below shows citation networks among different types of legal documents (e.g., cases-prior cases).

Benjamin Renoust
Benjamin Renoust
Guest Associate Professor
Chenhui Chu
Chenhui Chu
Guest Associate Professor
Yuta Nakashima
Yuta Nakashima
Associate Professor

Yuta Nakashima is an associate professor with Institute for Datability Science, Osaka University. His research interests include computer vision, pattern recognition, natural langauge processing, and their applications.

Noriko Takemura
Noriko Takemura
Guest Associate Professor

She is working on ambient intelligence and gait recognition using pattern recognition and machine learning.

Hajime Nagahara
Hajime Nagahara
Professor

He is working on computer vision and pattern recognition. His main research interests lie in image/video recognition and understanding, as well as applications of natural language processing techniques.