Revision of Data 3 Law대한민국청소년영어뉴스/KOREAN YOUTH ENGLISH NEWS
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  • 기사등록 2020-11-30 15:10:31
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The revision of the Data 3 Law was promulgated on February 4, 2020, and it has been in effect as of August 5 this year. The term "Data 3 Law" means the Personal Information Protection Law, the Information and Communications Network Law, and the Credit Information Act. The revision of the three data laws has made headlines for having a positive impact on IT growth. 



▲ Simple explain of Three data Law contents

First, to explain the contents of the Data 3 Act, the Data 3 Act was implemented as an innovation to support Internet companies with innovative technologies like artificial intelligence in order to lead to reform appropriately to the European Union's General Privacy Act, and the core of the Act is to eliminate unnecessary overlapping regulations caused by the division of the Personal Information Protection Act. In addition, the main content of the Data 3 Act is to introduce the concept of 'false information' that is safely processed so that an individual cannot be identified without the combination of additional information.


The positive effect of the Data 3 Act is that companies in various industries can collaborate and create an environment where IT companies can make various attempts. Under the existing Personal Information Protection Act, cooperation between companies was difficult because they could not provide their personal information to other companies by not identifying their personal information so that they could not find out whose information it was, but the passage of the Data 3 Act solved the problem.


▲ Discussions on 3 Laws of Data: Information and Communication Industry Team



The revision of the Data 3 Act is very beneficial to the growth of IT companies. However, the passage of the revised bill has limited the use of personal information. If these areas are supplemented and further developed, the nation's IT sector will be able to develop further.


▲ The revision of the Data 3 Act has linked all data

By Kwon Garam

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