연구논문

하단의 논문은 서울대학교 아시아태평양법연구소 아시아태평양법 국제교류기금의 학술연구비 지원을 받은 학술논문입니다.



박상철, 고학수, Machine Learning and Law and Economics: A Preliminary Overview (2020)

아태법
2021-02-15
조회수 336

박상철, 고학수, "Machine Learning and Law and Economics: A Preliminary Overview ", Asian Journal of Law and Economics (2020).

<Abstract>

This paper provides an overview of machine learning models, as compared to traditional economic models. It also lays out emerging issues in law and economics that the machine learning methodology raises. In doing so, Asian contexts are considered. Law and economics scholarship has applied econometric models for statistical inferences, but law as social engineering often requires forwardlooking predictions rather than retrospective inferences. Machine learning can be used as an alternative or supplementary tool to improve the accuracy of legal prediction by controlling out-of-sample variance along with in-sample bias and by fitting diverse models to data with non-linear or otherwise complex distribution. In the legal arena, the past experience of using economic models in antitrust and other high-stakes litigation provides a clue as to how to introduce artificial intelligence into the legal decision-making process. Law and economics is also expected to provide useful insights as to how to balance the development of the artificial intelligence technology with fundamental social values such as human rights and autonomy. 

<Keyword>

machine learning; artificial intelligence; natural language processing; algorithmic transparency, fairness, accountability

08826 서울특별시 관악구 관악로 1 서울대학교 아시아태평양법연구소 / Tel : 02-880-4119 / E-mail : aplaw@snu.ac.kr

COPYRIGHT 2015 Seoul National University Asia·Pacific Law Institute ALL RIGHT RESERVED. 
개인정보처리방침은 http://aplaw.snu.ac.kr/?mode=privacy를 참조하시기 바랍니다.