人工智能时代平台经济算法权力滥用的反垄断法规制研究

Research on Anti-Monopoly Law Regulation of Algorithmic Power Abuse in Platform Economy in the Era of Artificial Intelligence

摘要: 人工智能时代，算法技术作为数字平台商业生态系统的核心驱动力，已形成具有技术支配属性的新型市场权力。然而，算法权力的滥用也产生了诸如算法歧视、算法剥削等的异化风险，反垄断法作为治理算法权力滥用的核心制度工具，在应对技术异化挑战时又面临着诸多实践困境。为此，在充分理解《反垄断法》“预防和制止垄断行为”“保护市场公平竞争”“鼓励创新”“提升经济运行效率”“维护消费者利益和社会公共利益”等多元目标的基础上，可以通过完善预防性监管和惩戒性救济并重的规制框架，通过算法备案审查、动态风险评估、完善反垄断法律责任等途径，对其进行合理规制，以期平衡创新激励与市场秩序，为数字经济生态的公平竞争提供有力保障。

Abstract: In the era of artificial intelligence, algorithm technology, as the core driving force of the commercial ecosystem of digital platforms, has formed a new type of market power with technological dominance attributes. However, the abuse of algorithm power also brings about alienation risks such as algorithm discrimination and algorithm exploitation. Anti-monopoly law, as the core institutional tool for governing the abuse of algorithm power, faces many practical challenges when dealing with the challenges of technological alienation. Therefore, based on a full understanding of the multiple goals of the “prevention and suppression of monopolistic behaviors”, “protection of fair market competition”, “encouragement of innovation”, “improvement of economic operation efficiency”, and “maintenance of consumer interests and social public interests” in the Anti-Monopoly Law, a regulatory framework that combines preventive supervision and punitive remedies can be improved. Through measures such as algorithm filing review, dynamic risk assessment, and improvement of anti-monopoly legal responsibilities, it can be reasonably regulated to balance innovation incentives and market order, and provide a strong guarantee for fair competition in the digital economy ecosystem.