중국의 빅테크 알고리즘 규제 연구: 알고리즘이 통제하는 사회에서 국가가 알고리즘을 통제하는 사회로?

Abstract

In January 2022, the Cyberspace Administration of China (CAC) and others enacted regulations related to algorithms. It is the Internet Information Service Algorithmic Recommendation Management Regulations. This study analyzes this regulation to find its meaning. The conclusions found in this study are as follows. First, the fact that the world's first regulations on big-tech algorithms are enacted and implemented means that in China, the state exercises an overwhelming advantage over other countries in regulations on big-tech compared to other countries. In other countries, the problem of algorithms is being debated as a socioeconomic problem, but Big Tech is still reluctant to disclose algorithms as trade secrets and state regulations have yet to reach the algorithms. On the other hand, in China, as shown in the analysis of the Regulations, the goal of national regulation on algorithms is clarified and the requirements of algorithms are specified. In addition, in terms of the protection of users' rights and interests, it has provisions for various users such as consumers, workers, the elderly, and minors. Second, algorithmic regulation is an example that shows that regulations on big tech in China are moving in a more systematic direction. In China, the state has shifted from non-regulation to strong regulation of big tech at the end of 2020, but has shifted from strong regulation to systematic regulation in 2022. Algorithmic regulation can also be seen as an area of this systematic regulation. In other words, it can be seen that in China, the state is trying to maintain control of big tech through regulations on algorithms. It can be seen that regulations are shifting to more detailed areas because strong regulations in the country bring side effects. Third, the enactment and implementation of the world's first Regulations means that there is not a small amount of damage to users due to algorithms in China. In fact, various surveys show that there are not a few experiences of damage to algorithms. As mentioned above, a survey shows that big data's "rip-off" experience was close to 90% of persons to be surveyed, and that they had experience in rip-off on platforms such as delivery, shopping, tourism, and shared vehicles.