키워드 네트워크와 BERT 모델을 활용한 인공지능 관련 국내외 법학연구 동향과 함의

초록

In order to prepare ethical and legal standards for the use of artificial intelligence, the international community and major countries are proposing ethical principles, guidelines for use, and legislative proposals. In particular, due to the characteristics of artificial intelligence, whose performance is dependent on learning data, issues of invasion of personal information and privacy, fairness and bias, and discrimination are constantly being raised, and discussion on the possibility of explaining the results of artificial intelligence and attributable to it. Accordingly, research on various issues related to the use of artificial intelligence technology is being conducted in the field of law. Therefore, to examine the research trends related to artificial intelligence in domestic and foreign law fields, this study collected academic papers that include the keywords of artificial intelligence, machine learning, and deep learning for the last ten years from 2010 to 2020. For this, we targeted academic journals registered with the National Research Foundation of Korea and the Web of Science database. And we employed keyword network analysis and topic modeling based on the BERT model by collecting author selection research keywords and abstracts (176 domestic cases, 275 foreign cases). As a result of the study, domestic and foreign artificial intelligence-related legal research topics after 2018 have increased in various ways, and there has been a tendency to gradually develop from specific categories and issues on the use of artificial intelligence to general legal and policy discussions. Therefore, this study aims to promote a comprehensive understanding of the future AI-related legislative direction and industrial changes through the results of this study.

키워드