AI 학습용 데이터의 보호에 관한 소고 - 지식재산법상의 보호를 중심으로 -

Abstract

Data is closely related to AI technology. The more data is accumulated and the more accurate the data is, the better the analysis results come out. AI technology (AI software) is used for this analysis. Advances in AI technologies such as deep learning and machine learning have made data more valuable. Data is often traded with AI technology, and businesses using data and AI technology are also becoming more vibrant. From this point of view, AI learning data needs to be adequately protected. In the case of the domestic data industry, data creation and utilization is evaluated as relatively inadequate. Data required for data construction and utilization (distribution) is insufficient, and industrial and social use is poor due to a closed distribution system. This phenomenon is believed to be due to the limited use of data due to restrictions on personal information, and the lack of manpower responding to corporate demand. In particular, learning data essential for AI-related inventions is no exception. In this study, the following measures were proposed to protect AI learning data. First, a plan to strengthen protection under the patent law, second, a plan to protect data through the Unfair Competition Prevention Act, third, a plan to introduce a 'data patent' application system in preparation for the era of big data, and fourth, Fourth, similar to the microbial donation system, the introduction of the AI system for depositing data and learning completion models was suggested.