Research on the Competition Law Risks and Regulation Brought by Generative Artificial Intelligence

Youchun Yu

doi:10.54097/hbem.v9i.9093

Authors

Youchun Yu

DOI:

https://doi.org/10.54097/hbem.v9i.9093

Keywords:

Artificial Intelligence; Anti-competition Agreements; Unfair Competition; Algorithmic Monopoly.

Abstract

The emergence of chatGPT signifies that Artificial Intelligence (AI) technologies for generating content will have a significant impact on people’s work and lifestyle. Nowadays, R&D of generative AI such as chatGPT has become the core domain in the latest wave of technological competition among nations, yet we must be aware that it may result in the disclosure of trade secrets, abuse of dominant market position and other market competition and monopoly risks. In order to regulate the advancement of generative artificial intelligence, it is imperative to refine the existing legislative framework and establish a novel regulatory architecture that involves the participation of the government, corporations, and end-users, to ensure both the free development of technology and its orderly compliance, and guard against the occurrence of malicious competition and market monopolies.

Downloads

Download data is not yet available.

References

Cao Shengliang, Zhang Xiaomeng. Legal Regulation of Data Competition in the Era of Artificial Intelligence [J]. Study and Practice, 2019(10): 83-91. DOI: 10.19624/j.cnki.cn42-1005/c.2019.10.009.

Liu Baofu, Liu Hangyu. Challenges and Responses: How to Promote the Modernization of Social Governance in the Context of Artificial Intelligence [J/OL]. Journal of Sichuan Academy of Administration: 1-7 [2023-05-11]. http://kns.cnki.net/kcms/detail/51.1537.D.20230310.1314.006.html.

Jia Liping, Cao Can. Social Risks of Artificial Intelligence Autonomous Invention and Legal Countermeasures [J]. Journal of Liaoning University (Philosophy and Social Sciences Edition), 2022, 50 (02): 82-89. DOI: 10.16197/j.cnki.lnupse.2022.02.010.

Jiang Zhudou. Improvement of Antitrust Regulation in the Era of Artificial Intelligence [D]. Jilin University of Finance and Economics, 2020. DOI: 10.26979/d.cnki.gccsc.2020.000036.

Xi Guiquan, Tan Xiao, Jin Xiaohong, Zhang Ting. Challenges and Responses: Attribution and Collaborative Governance of Diverse Security Risks of Large-Scale Language Models (ChatGPT) [J/OL]. Journal of Xinjiang Normal University (Philosophy and Social Sciences Edition): 1-9 [2023-05-11]. DOI: 10.14100/j.cnki.65-1039/g4.20230413.001.

Deng Jianpeng, Zhu Yicheng. Legal Risks of the ChatGPT Model and Strategies for Dealing with Them [J/OL]. Journal of Xinjiang Normal University (Philosophy and Social Sciences Edition), 2023(05): 1-11 [2023-05-11]. DOI: 10.14100/j.cnki.65-1039/g4.20230228.001.

Ding Yazhi, Ma Mengyang, Qingmu. Countries Take Actions to Regulate the Development of AI [N]. Global Times, 2023-04-13 (011). DOI: 10.28378/n.cnki.nhqsb.2023.003075.

Hu Ping. Ongoing Regulations for Generative AI [N]. Financial Times, 2023-04-17 (007). DOI: 10.28460/ n. cnki. njrsb.2023.002087.

Wang Yang, Yan Hai. Risk Iteration and Regulatory Innovation of Generative Artificial Intelligence: A Case Study of ChatGPT [J/OL]. Theoretical Monthly: 1-11 [2023-05-11]. DOI: 10.14180/j.cnki.1004-0544. 2023.06.002.

Nie Tong. Legal Risks and Compliance of ChatGPT Generative AI [J]. Internet World, 2023(03): 29-33.

Yin Jiguo. Antitrust Regulation of Algorithmic Monopolistic Behavior in the Era of Artificial Intelligence [J]. Comparative Law Research, 2022(05): 185-200.