Activities per year
Abstract
The rise of business models based on the collection and processing of Big Data allows undertakings to offer customers different prices for the same goods at precisely the same time. This technique is called “AI-enabled price discrimination”. This thesis delves into the economic rationale and technical mechanism of AI-enabled price discrimination in digital markets and compares the legal consequences of (AI-enabled) price discrimination under EU and Chinese competition law (and beyond). This thesis also evaluates whether current legal regimes can effectively tackle concerns caused by anticompetitive and welfare- reducing AI-enabled price discrimination, and provides policy suggestions to the two jurisdictions for considering (AI-enabled) price discrimination as an infringement of competition law (and beyond).
Original language | English |
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Qualification | Doctor of Philosophy |
Awarding Institution |
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Supervisors/Advisors |
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Award date | 26 Mar 2024 |
Place of Publication | Maastricht |
Publisher | |
Print ISBNs | 9789464697698 |
DOIs | |
Publication status | Published - 2024 |
Keywords
- AI-enabled Price Discrimination
- Competition Law
- Law and Economics
- Comparative Analysis
Activities
- 1 PhD (co-) supervision / assessment committee - internal promotion
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AI-enabled price discrimination: A competition law and economics perspective
Niels Philipsen (Supervisor), Caroline Cauffman (Supervisor), Michael Faure (Assessment committee chair), Inge Graef (Assessment committee member), Qian Hao (Assessment committee member) & Sarah Schoenmaekers (Assessment committee member)
26 Mar 2024Activity: PhD examination / assessment committee › PhD (co-) supervision / assessment committee - internal promotion › Academic