Haksoo Ko

Yan Bai, MD; Lingsheng Yao, MD; Tao Wei, MD; Fei Tian, MD; Dong-Yan Jin, PhD; Lijuan Chen, PhD; Meiyun Wang, MD, PhD

Journal Article Structure and enforcement of data privacy law in South Korea Get access Haksoo Ko, Haksoo Ko Search for other works by this author on: Oxford Academic Google Scholar John Leitner, John Leitner Search for other works by this author on: Oxford Academic Google Scholar Eunsoo Kim, Eunsoo Kim Search for other works by this author on: Oxford Academic Google Scholar Jonggu Jeong Jonggu Jeong Search for other works by this author on: Oxford Academic Google Scholar International Data Priv

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 forward-looking predictions rather than retrospective inferences. Machine learning can be used as an alternat

Korea recently enacted the Unified Bankruptcy Act. It aims to streamline existing bankruptcy procedure by consolidating various statutes governing bankruptcy into a single statute. Prior to the current enactment, when a company was in distress, it could restructure itself and continue its operation through corporate reorganization or through composition and, during the reorganization procedure, the incumbent manager was often discharged. Under the new statute, a single type of rehabilitation pro

인간이 인공지능을 사용할 때 발생하는 차별은 법적으로 어떻게 취급되어야 하는가? 현재 널리 사용되는 ‘딥러닝(deep learning)’ 인공지능은 범용적 문제해결이 가능한 판단주체가 아니며, 과거의 데이터를 통계적으로 재조직하는 고도화된 분석도구라 할 수 있다. 적어도 현재의 인공지능 기술은 인간의 판단을 전반적으로 대신하는 것이라 보기 어렵다. 인공지능과 관련된 차별 문제에 대한 법적 규율은, 인공지능의 훈련과정에서 어떤 데이터가 이용되는지 그리고 어떻게 알고리즘이 구축되는지 등에 관한 구체적인 사항에 집중할 필요가 있다. 이는 사법적 판단을 통한 사후적 규율과 규제를 통한 사전적 규율에 대해 여러 쟁점을 야기하는데, 이 글에서는 쟁점들을 세 그룹으로 나누어 분석한 뒤 각각에 대해 잠정적 견해를 제시한다.BR 첫째로, 인간에게는 차별의도가 없었음에도 인공지능 학습에 활용된 데이터에 과거의 차별적 요소가 반영되어 있었던 탓에 인공지능을 활용한 의사결정이 차별을 발생시킨 경우, 배상

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 forward-looking predictions rather than retrospective inferences. Machine learning can be used as an alternat

How to de-identify personal data in South Korea: an evolutionary tale Haksoo Ko, Haksoo Ko Email: hsk@snu.ac.kr Search for other works by this author on: Oxford Academic Google Scholar Sangchul Park Sangchul Park Search for other works by this author on: Oxford Academic Google Scholar International Data Privacy Law, Volume 10, Issue 4, November 2020, Pages 385–394, https://doi.org/10.1093/idpl/ipaa015 Published: 09 November 2020

Culture has an inarguable role in shaping negotiation. Negotiators interests, priorities, and strategies are affected by their culture. Each culture shares some similar elements with other cultures while also having its own unique traits. These characteristics can manifest themselves in negotiation behaviors in interesting ways. Korean culture seems to share similar values with cultures of its neighbors, most notably of China and Japan, but it also has differences that emerge with some unique ne

This article provides an overview of the current status of the Law and Economics education in Korea. In Korea, a course in Law and Economics was first offered in mid-1980s at Seoul National University, and since then, academic and teaching interests have been growing steadily. Based on the results of an informal survey on course offerings, we describe what is being taught and discuss challenges that the field is facing in Korea. Major pedagogic challenges include (i) insufficient supply of instr