Exploring Antitrust and Platform Power in Generative AI
Abstract: The concentration of power in a few digital technology companies has become a subject of increasing interest in both academic and non-academic discussions. One of the most noteworthy contributions to the debate is Lina Khan's Amazon's Antitrust Paradox. In this work, Khan contends that Amazon has systematically exerted its dominance in online retail to eliminate competitors and subsequently charge above-market prices. This work contributed to Khan's appointment as the chair of the US Federal Trade Commission (FTC), one of the most influential antitrust organisations. Today, several ongoing antitrust lawsuits in the US and Europe involve major technology companies like Apple, Google/Alphabet, and Facebook/Meta. In the realm of generative AI, we are once again witnessing the same companies taking the lead in technological advancements, leaving little room for others to compete. This article examines the market dominance of these corporations in the technology stack behind generative AI from an antitrust law perspective.
- The Grey Hoodie Project: Big Tobacco, Big Tech, and the Threat on Academic Integrity. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, pp. 287–297, Virtual Event USA, July 2021. ACM. ISBN 978-1-4503-8473-5. doi: 10.1145/3461702.3462563. URL https://dl.acm.org/doi/10.1145/3461702.3462563.
- Billy Perrigo. The $2 Per Hour Workers Who Made Chatgpt Safer, January 2023. URL https://time.com/6247678/openai-chatgpt-kenya-workers/.
- Bork, R. H. Antitrust Paradox. Free Press, New York : Toronto : New York, first edition edition, 1978. ISBN 978-0-02-904456-8.
- Butterick, M. GitHub Copilot litigation, 2022. URL https://githubcopilotlitigation.com/.
- Competition and Markets Authority. Online platforms and digital advertising, 2020. URL https://assets.publishing.service.gov.uk/media/5efc57ed3a6f4023d242ed56/Final_report_1_July_2020_.pdf.
- European Parliament. MEPs ready to negotiate first-ever rules for safe and transparent AI — News — European Parliament. https://www.europarl.europa.eu/news/en/press-room/20230609IPR96212/meps-ready-to-negotiate-first-ever-rules-for-safe-and-transparent-ai, June 2023.
- Khan, L. M. Amazon’s Antitrust Paradox. The Yale Law Journal, 126(3):96, 2017.
- Kollnig, K. Regulatory Technologies for the Study of Data and Platform Power in the App Economy. PhD Thesis, University of Oxford, 2023. URL https://kollnig.net/phd-thesis.
- Lamoreaux, N. R. The Problem of Bigness: From Standard Oil to Google. Journal of Economic Perspectives, 33(3):94–117, August 2019. ISSN 0895-3309. doi: 10.1257/jep.33.3.94. URL https://pubs.aeaweb.org/doi/10.1257/jep.33.3.94.
- Metz, C. Meet GPT-3. It Has Learned to Code (and Blog and Argue). The New York Times, November 2020. ISSN 0362-4331. URL https://www.nytimes.com/2020/11/24/science/artificial-intelligence-ai-gpt3.html.
- Posner, R. A. Antitrust Law: An Economic Perspective. Univ of Chicago Pr, Chicago, January 1978. ISBN 978-0-226-67558-9.
- BloombergGPT: A Large Language Model for Finance, May 2023. URL http://arxiv.org/abs/2303.17564. arXiv:2303.17564 [cs, q-fin].
- Wu, T. The Curse of Bigness: Antitrust in the New Gilded Age. Columbia Global Reports, New York, NY, 2018. ISBN 978-0-9997454-6-5. OCLC: on1029205194.
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