인공지능 개발에 필요한 데이터셋의 지적재산법상 보호 - 저작권법을 중심으로 -

In order to protect the intellectual property rights of datasets and to promote the use of the datasets, it is possible to examine both the amendments of the copyright law of the method on granting rights and the amendments of the unfair competition law of the method on the regulation of acts. Protecting datasets as trade secrets may be undesirable in terms of encouraging the disclosure and use of datasets in the age of artificial intelligence(AI) and big data. In addition, protection measures that protect datasets by patent rights or grant exclusive monopoly rights are not adequate in terms of the balance of legal interests between the owner and the user. In the AI ​​and big data era, it is required a balanced legislation that protects the interests of the owners of datasets as well as the interests of the user of the datasets. In summary, this paper attempts to present policy implications including meaningful theory of interpretation and legislation in copyright law and unfair competition law through analysis of our current intellectual property law in relation to dataset protection and further comparative analysis of laws on datasets in major countries.