The Role of Fair Competition Legislation Balanced against Internet Platform Interface Control: The Case of Cross-Platform Automated Implementation of Intelligent Automated Agents
DOI:
https://doi.org/10.63313/SSH.9120Keywords:
Intelligent agents, cross-platform automated execution, fair competition, platform interface control, principle of proportionalityAbstract
Generative artificial intelligence continues developing more sophisticated applications, including automated intelligent agents. Their implementation, however, is overseen and restricted by Internet platforms through interface rules, identity authentication, and risk control measures, all of which limit the cross-platform execution of said agents. This impacts their competitive application across business sectors, and limits consumer choices. This paper, based on the Competition Fairness Protection Law of The People’s Republic of China, analyzes the potential impact of such controls on the competitiveness of intelligent automated agents in order to determine their legality or lack thereof. It uses a three-tier framework focusing on legitimacy of purpose, necessity of means, and balance of effects, to assess and balance platform governance needs together with the protection of fair competition.
References
[1] European Union Law. (2022) Regulation (EU) 2022/1925 of the European Parliament and of the Council of 14 September 2022 on contestable and fair markets in the digital sector (Digital Markets Act). Official Journal of the European Union, 265. https://eur-lex.europa.eu/eli/reg/2022/1925/oj/eng
[2] Federal Trade Commission. (2023) Generative AI Raises Competition Concerns. https://www.ftc.gov/news-events/news/press-releases/2023/06/generative-ai-raises-competition-concerns.
[3] Infocomm Media Development Authority. (2026) Model AI Governance Framework for Agentic AI, Version 1.5. https://www.imda.gov.sg/-/media/imda/files/about/emerging-tech-and-research/artificial-intelligence/mgf-for-agentic-ai.pdf
[4] National Institute of Standards and Technology. (2023) Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1, U.S. Department of Commerce. https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10
[5] OECD. (2017) Algorithms and Collusion: Competition Policy in the Digital Age. OECD Publishing. https://www.oecd.org/en/publications/algorithms-and-collusion-competition-policy-in-the-digital-age_258dcb14-en.html
[6] United States District Court for the Northern District of California. (2026) Amazon.com Services LLC v. Perplexity AI, Inc., No. 3:25-cv-09514-MMC. https://www.courtlistener.com/docket/71874820/amazoncom-services-llc-v-perplexity-ai-inc/
[7] Xiaoqing, F. and Yunwei, Z. (2026) A Study on the Anti-Unfair Competition Law Regulation of Intelligent Agent Interaction. Intellectual Property.
[8] Xinyuan, S. (2022) On the Application of the Principle of Proportionality in Economic Law. Modern Jurisprudence, no. 41-42. DOI:10. 3969/j. issn.1001-2397.2022.02.03
[9] Yihan, B. (2026) AI: A Competition Law Evaluation of Cross-Platform Agent Execution by Intelligent Agents. Legal Science Journal of Northwest University of Political Science and Law. DOI:10.16290/j.cnki.1674-5205.2026.03.012
Downloads
Published
Issue
Section
License
Copyright (c) 2026 by author(s) and Erytis Publishing Limited
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
