From foundational law and economics literature to research on artificial intelligence, data, and privacy. Follow bibliographic information and Korean reading guides to the original texts.
Total 22 items
Based on discussions at the AI and Future of Labor Symposium held at Seoul National University 2026-02-04, this summarizes changes in the Korean labor market and policy options.
This report series covers human rights-based approaches to new technologies in stages, from the 2022 framework through to 2025 year implementation plans.
This is a document compiled by law school student researchers on algorithmic fairness audit research cases, reviewed by supervising professors and lawyers.
This explores pseudonymization and changes in personal information protection law, issues arising from the use of artificial intelligence, and privacy-preserving technologies.
The joint AI-related research materials of NAVER and SAPI can be accessed from the official download link.
A special contribution introducing the European Union’s proposed Artificial Intelligence Act in 2021, providing context on the early legislative debate.
This is a bilingual Korean-English activity report that reviews the research and academic exchange activities from the launch of SAPI through 2017–2020 years.
This work jointly examines the transparency and explainability of artificial intelligence from the perspectives of law, statistics, engineering, and medicine.
This contribution examines data collection pathways, including online identifiers and cookies, as well as the operational mechanisms of the advertising ecosystem.
This issue addresses data governance in the digital age, covering data collection and evaluation, medical and financial information, and platform regulation.
This work examines rights and ownership concepts related to data from the perspectives of personal data, competition policy, and industry-specific use.
This study analyzes the impact of securing and regulating training data on the development of artificial intelligence technology and market competition.
This paper examines the relationship between information constraints and discrimination prevention in AI recruitment from an information economics perspective.
This work summarizes legal issues of personal data de-identification, domestic and international discussions, and management frameworks for data utilization.
This approach complements the analysis of law and policy with evidence concerning actual behavior by reflecting bounded rationality, willpower, and selfishness.
Explains actual choice under risk using gains and losses relative to a reference point and nonlinear probability weighting.
Distinguishes property rules, liability rules, and inalienability rules, linking methods of rights protection to institutional effectiveness.
Examines the effects of detection probability and sanction severity on behavior from the perspectives of incentives and social costs.
Explains the formation of property rights through benefits that reduce externalities and costs of establishing and enforcing rights.
Economically examines accident loss burdens and explores the relation between risk distribution and resource allocation.
Analyzes externalities from the perspectives of rights allocation and transaction costs, demonstrating the costs that must be considered when comparing real-world institutions.
Compares the costs of market transactions with the costs of internal organizational coordination, explaining the reasons for the existence of firms and the boundaries thereof.