Algorithmic Monopolization and Antitrust Regulation in the AI Industry

Abstract

Since the birth of Chat GPT in 2022, artificial intelligence (AI) has led  global industrial upgrading, in which algorithms play a key role, but the problem of algorithmic monopoly has also come to the forefront, and antitrust regulation is necessary. This paper discusses the formation mechanism and manifestation of algorithmic monopoly in the AI industry, analyzes the theory and international experience of antitrust regulation, studies the dilemma of identifying and determining algorithmic monopoly and data privacy security, and proposes corresponding regulatory strategies. This paper comprehensively utilizes literature research, comparative method, and interdisciplinary data collection method to obtain data. It conducts theoretical analysis from the perspectives of computer science, economics, jurisprudence, and other multidisciplinary perspectives, to build a brand new antitrust analytical framework and put forward prospective regulatory strategies. As far as the research results are concerned, this paper clarifies the types of algorithmic monopoly behaviors and the theoretical challenges to the antitrust law, combs through typical cases to reveal their manifestations, harmful consequences, and regulatory difficulties, and proposes a sound classification and comprehensive regulation model and a collaborative governance strategy for multiple subjects. Based on this, this paper enriches the theoretical system of AI and antitrust, supports the improvement of antitrust law, and helps regulators formulate policies and law enforcement, maintain fair competition in the market, and protect the rights and interests of enterprises and consumers.