빅데이터/인공지능을 이용한 이윤극대화 가격차별과 독점규제법
Profit-Maximizing Price Discrimination Using Artificial Intelligence System and Antitrust Law
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This article addressed some problems of profit-maximizing price discrimination (PD) using artificial intelligence system (AIPD) mainly from the perspective of Korean antitrust law. Considering the realities of the online markets as well as the current level of AI system for dynamic pricing, it seems not possible to perform the first-degree or perfect PD. Indeed AIPD which has raised the issue of fairness is the third-degree in terms of Pigouvian economics. Because the third-degree PD is basically lawful under antitrust law, AIPD as the the thirddegree PD cannot be regarded per se illegal. However, even though AIPD is not prohibited by antitrust law, those who facing a higher price due to AIPD would have the strong feeling of unfairness, regardless of competitive impact on market. Either data protection law or consumer protection law could better be used to deal with the issue of AIPD from the perspective of ‘common good’ in public law.
Abstract
This article addressed some problems of profit-maximizing price discrimination (PD) using artificial intelligence system (AIPD) mainly from the perspective of Korean antitrust law. Considering the realities of the online markets as well as the current level of AI system for dynamic pricing, it seems not possible to perform the first-degree or perfect PD. Indeed AIPD which has raised the issue of fairness is the third-degree in terms of Pigouvian economics. Because the third-degree PD is basically lawful under antitrust law, AIPD as the the thirddegree PD cannot be regarded per se illegal. However, even though AIPD is not prohibited by antitrust law, those who facing a higher price due to AIPD would have the strong feeling of unfairness, regardless of competitive impact on market. Either data protection law or consumer protection law could better be used to deal with the issue of AIPD from the perspective of ‘common good’ in public law.
참고문헌 (110)
- 김성환, "데이터 기반 가격차별:소비자 후생과 차별 비용의 문제", 산업조직연구, 29(2), pp.49~83 (2021), 한국산업조직학회
- 김형배, "공정거래법의 이론과 실제" (2019), 도서출판 삼일
- 권오승, "경제법" (2021), 법문사
- 신혁승, "시장진입과 가격차별의 사회후생효과 분석", 계량경제학보, 18(1), pp.5~30 (2007), 한국계량경제학회
- 이승훈, "第1級 價格差別化- 現實的 可能性", 경제논집, 41(2) (2002)
- 이준기, "인터넷의 다이나믹 프라이싱 구매방식에서의 가격차별화에 대한 구매자의 가격공정성 인지에 관한 연구", 한국IT서비스학회지, 6(2), pp.19~33 (2007), 한국IT서비스학회
- 유필화, "가격탄력성을 이용한 세분시장의 가격차별화 전략 - 해운서비스를 중심으로 -", 마케팅연구, 17(2), pp.86~112 (2002), 한국마케팅학회
- 주진열, "약탈적 가격인하와 가격(이윤)압착 문제에 대한 고찰: 기업메시징서비스 사건(대법원 2021. 6. 30. 선고 2018두37700 판결)을 중심으로", 경쟁법연구, 44, pp.125~176 (2021), 한국경쟁법학회[DOI]
- Amstrong, Mark, "Handbook of Antitrust Economics" (2008), The MIT Press
- Areeda, Phillip, "Antitrust Analysis" (2004), Aspen Publisher
- Austern, H. Thomas, "Price Discrimination Under the Robinson-Patman Act", Harv. L. Rev, 76, pp.662~ (1963)
- Azzolina, Stefano, "Price Discrimination in the Online Airline Market: An Empirical Study", Journal of Theoretical & Applied Electronic Commerce Research, 16(6), pp.2282~ (2021)
- Baer, Benjamin R., "The Oxford Handbook of Ethics of AI" (2020), Oxford University Press
- Baker, Jonathan B., "The Antitrust Paradigm" (2019), Harvard University Press
- Bamzai, Aditya, "The Origins of Judicial Deference to Executive Interpretation", Yale L. J, 90, pp.908~ (2017)
- Ban, Gah‐Yi, "Personalized Dynamic Pricing with Machine Learning: High Dimensional Features and Heterogeneous Elasticity", Management Science, 67(9), pp.5549~ (2021)
- Bar-Gill, Oren, "Algorithmic Price Discrimination; When Demand Is a Function of Both Preferences and (Mis)perceptions", The University of Chicago Law Review, 86, pp.217~ (2017)
- Bathaee, Yavar, "The Artificial Intelligence Black Box and the Failure of Intent and Causation", Harv. J. L., & Tech, 31, pp.889~ (2018)
- Ben-Ishai, Stephanie, "AI, Consumer Credit, and Discrimination:A Comparative Look at Canada and the United States", Corp., & Bus. L.J, 2, pp.271~ (2021)
- Benasayag, Miguel, "The Tyranny of Algorithms" (2021), Europa edition
- "How AI Can Help Companies Set Prices More Ethically" (2021)[URL]
- Blair, Roger D., "Antitrust Economics" (2008), Oxford University Press
- Blair, Roger D., "“Antitrust’s Least Glorious Hour”: The Robinson-Patman Act", The Journal of Law & Economics, 57, pp.S201~ (2014)
- Borgesius, Frederik Zuiderveen, "Price Discrimination, Algorithmic Decision-making, and European Non-discrimination Law", European Business Law Review, 31, pp.401~ (2020)
- "Online Price Discrimination and Data Protection Law" (2015)[URL]
- Bostrom, Nick, "Superintelligence: Paths, Dangers, Strategies" (2014), Oxford University Press
- Botta, Marco, "To discriminate or not to discriminate? Personalised pricing in online markets as exploitative abuse of dominance", European Journal of Law and Economics, 50(3), pp.381~ (2020)
- Bruckmann, Barbara O., "Discounts, Discrimination, and Exclusive Dealing: Issues under the Robinson-Patman Act", Antitrust L.J, 68, pp.253~ (2001)
- Brynjolfsson, Erik, "Artificial Intelligence" (2019), Harvard Business Review Press
- Bulmash, Hagit, "An Empirical Analysis of Secondary Line Price Discrimination Motivations", J. Comp. L., & Econ, 8, pp.361~ (2012)
- Cabral, Luís M. B., "Introduction to Industrial Organization" (2017), The MIT Press
- Chandler, Jr., Alfred D., "The Railroads: The Nation’s First Big Business" (1965), Harcourt, Brace & World, Inc
- "A Statistical Learning Approach to Personalization in Revenue Management" (2015)[URL]
- Chowdhry, Amit, "Uber: Users Are More Likely To Pay Surge Pricing If Their Phone Battery Is Low", Frobes (May 25, 2016), ~ (2016)
- Crane, Daniel A., "Antitrust" (2014), Wolters Kluwer
- de Cornière, Alexandre, "Consumer Privacy and the Incentives to Price-Discriminate in Online Markets", Review of Network Economics, 16(3), pp.291~ (2017)
- "Dynamic pricing: What it is, Why it matters & Top Tools in 2022" (2022)[URL]
- Diakopoulos, Nicholas, "Transparency" (2020)
- Dixon, Paul Rand, "Price Discrimination and the Sherman Act", A.B.A. Antitrust Section, 27, pp.13~ (1965)
- Dunn, Samuel O., "Railway Discrimination", Journal of Political Economy, 20(5) (1912)
- Dunne, Niamh, "Competition Law and Economic Regulation" (2015), Cambridge University Press
- "Question for written answer E-004289/2019 to the Commission Rule 138 Kris Peeters (PPE) Subject: Online price discrimination and artificial intelligence"[URL]
- "EN E-004289/2019 Answer given by Mr Reynders on behalf of the European Commission" (2020)[URL]
- Evans, Charles D., "Anti-Price Discrimination Act of 1936", Va. L. Rev, 23, pp.140~ (1937)[DOI]
- Ezrachi, Ariel, "EU Competition Law: An Analytical Guide to the Leading Cases" (2018), Hart
- Folsom, Jr., Burton W., "New Deal or Raw Deal? How FDR’s Economic Legacy Has Damaged America" (2008), Threshold Editions
- Fumagalli, Chiara, "Exclusionary Practices: The Economics of Monopolisation and Abuse of Dominance" (2018), Cambridge University Press
- Gautier, Axel, "AI algorithms, price discrimination and collusion: a technological, economic and legal perspective", European Journal of Law and Economics, 50, pp.405~ (2020)
- Ge, Jiangqiu, "The obligation to provide “non-personalised” search results under the Chinese E-commerce law", Computer Law & Security Review, 41, pp.105568~ (2021)
- Gell, Maruice, "Further Aspects of the Robinson-Patman Anti-Price Discrimination Act", LAW Soc’y J, 7, pp.856~ (1937)
- Gifford, Daniel J., "The Law and Economics of Price Discrimination in Modern Economies: Time for Reconciliation?", U.C. Davis L. Rev, 43, pp.1235~ (2010)
- Gillis, Talia B., "Big Data and Discrimination", The University of Chicago Law Review, 86, pp.459~ (2019)
- Goodfellow, Ian, "Deep Learning" (2016), The MIT Press
- Gunkel, David J., "The Oxford Handbook of Ethics of AI" (2020), Oxford University Press
- Han, Wei, "Algorithmic Price Discrimination on Online Platforms and Antitrust Enforcement in China’s Digital Economy", Antitrust Source (August, 2018), ~ (2018)
- Hawley, Ellis W., "The New Deal and the Problem of Monopoly" (1995), Fordam University Press
- Hovenkamp, Herbert, "Federal Antitrust Policy: The Law of Competition and its Practice" (2011), West
- Kaminski, Margot E., "The Right to Contest AI", Colum. L. Rev, 121, pp.1957~ (2021)
- Kant, Immanuel, "Critique of Pure Reason" (1998), Cambridge University Press
- Kelleher, John D., "Data Science" (2018), The MIT Press
- Lipczynski, John, "Industrial Organization: Competition, Strategy, Policy" (2005), Prentice Hall
- Lior, Anat, "AI Entities as AI Agents: Artificial Intelligence Liability and the AI Respondeat Superior Analogy", Mitchell Hamline L. Rev, 46, pp.1043~ (2020)
- Lu, Youshui, "Say No to Price Discrimination: Decentralized and Automated Incentives for Price Auditing in Ride-Hailing Services", IEEE Transactions on Mobile Computing, 21, pp.663~ (2022)
- McCraw, Thomas K., "Prophets of Regulation" (1984), The Belknap Press of Harvard University Press
- Metzger, Gillian E., "1930s Redux: The Administrative State under Seige", Harv. L. Rev, 131, pp.1~ (2017)
- Mathur, Chandraveer, "Does Uber hike ride prices when you're low on battery?", NewsBytes (Aug 28, 2021), ~ (2021)
- McGee, John S., "Predatory Price Cutting: The Standard Oil (N.J.) Case", J.L., &Econ, 1, pp.137~ (1958)
- Melamed, A. Douglas, "Antitrust Law and Trade Regulation" (2018), Foundation Press
- Milgrom, Paul, "The Economics of Imperfect Competition and Employment" (1989), Palgrave Macmillan
- Neale, A. D., "The Antitrust Law of the U.S.A.: A Study of Competition Enforced by Law" (1980), Cambridge Univesity Press
- "OECD Handbook on Competition Policy in the Digital Age" (2022)[URL]
- "Personalised Pricing in the Digital Era, DAF/COMP(2018)13"[URL]
- OECD, "The regulation of personalised pricing in the digital era-Note by Marc Bourreau and Alexandre de Streel, DAF", COMP, pp.2018, ~
- O’Neil, Cathy, "Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy" (2017), Crown
- Pearl, Judea, "Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference" (1988), Morgan Kaufmann Publishing, Inc.
- Pigou, A. C., "The Economics of Welfare" (1932), Macmillan & Co
- Posner, Richard A., "Antitrist Law" (2001), Chicago University Press
- Posner, Richard A., "The Robinson-Patman Act: Federal Regulation of Price Differences" (1976), American Enterprise Institute
- Powers, Thomas M., "The Oxford Handbook of Ethics of AI" (2020), Oxford University Press
- Rothbard, Murray N., "The Progressive Era" (2017), Mises Institute
- Ross, Thomas W., "Store Wars: The Chain Tax Movement", J.L., & Econ, 29, pp.125~ (1986)
- Ross, Thomas W., "Winners and Losers under the Robinson-Patman Act", J.L., & Econ, 27, pp.243~ (1984)
- Rubenstein, David S., "Acquiring Ethical AI", Fla. L. Rev, 73, pp.747~ (2021)
- Russell, Stuart, "Human Compatible Artificial Intelligence and the Problem of Control" (2019), Viking
- Scopino, Gregory, "Algo Bots and the Law", pp.13~47 (2020), Cambridge University Press
- Schwab, Klaus, "Shaping the Future of the Fourth Industrial Revolution" (2018), Currency
- Sears, Alan M., "The Limits of Online Price Discrimination in Europe", The Columbia Science & Technology Law Review, 21, pp.1~ (2019)
- Shanahan, Murray, "The Technical Singularity" (2015), The MIT Press
- "First-Degree Price Discrimination Using Big Data" (2014)[URL]
- Skanderson, David M., "Managing Discrimination Risk of Machine Learning and AI Models", A.B.A. J. Lab., & Emp. L, 35, pp.339~ (2021)
- Shughart II, William F., "Antitrust Policy and Interest-Group Politics" (1990), Quorum Books
- "Strategic Implementation of ‘Everyday Low Price’ in Electronic Markets: A Study of Airline Pricing on the Internet" (2009)[URL]
- Smith, Jason Scott, "A Concise History of the New Deal" (2014), Cambridge University Press
- Sokol, D. Daniel, "Analyzing Robinson-Patman", George Washington Law Review, 83, pp.2065~ (2015)
- Solomon, Burt, "FDR v. the Constitution: The Court-Packing Fight and the Triumph of Democracy" (2009), Walker & Company
- Steinberg, Etye, "Big Data and Personalized Pricing", Business Ethics Quarterly, 30, pp.97~ (2020)
- Steppe, Richard, "Online price discrimination and personal data : A General Data Protection Regulation perspective", Computer Law & Security Review, 33, pp.768~ (2017)
- Sullivan, E. Thomas, "Antitrust Law, Policy, and Procedure" (2014), LexisNexis
- Sullivan, E. Thomas, "Understanding Antitrust and Its Economic Implications" (2019), Carolina Academic Press
- Taddy, Matt, "Business Data Science" (2019), McGraw Hill
- Townley, Christopher, "Big Data and Personalised Price Discrimination in EU Competition Law", Yearbook of European Law, 36, pp.683~ (2017)
- Turing, A. M., "Computing Machinery and Intelligence", Mind, 59(236), pp.433~460 (1950)[DOI]
- "Americans Reject Tailored Advertising and Three Activities that Enable It" (2009)[URL]
- U.S. Department of Justice on Report of the Robinson-Patman Act, "Richard O. Levine", ~ (1977)
- Viscusi, W. Kip, "Economics of Regulation and Antitrust" (2005), The MIT Press
- Vermuele, Adrian, "Common Good Constitutionalism", pp.26~ (2022), Polity
- Walker, Joshua, "Is ‘Ethical AI’ a Red Herring?", Santa Clara High Tech. L. J, 36, pp.445~ (2020)
- "Research on Chinese Consumers’ Attitudes Analysis of Big-Data Driven Price Discrimination Based on Machine Learning" (2022)[URL]
- Whish, Richard, "Competition Law" (2008), Oxford University Press
- Woodcock. Ramsi, "Big Data, Price Discrimination, and Antitrust", Hastings Law Journal, 68, pp.1371~ (2017)
