Qian Li (Q.)

Li, Q., & Kollnig, K. (2024). Data Scraping for the Training of Generative AI: Lessons from Chinese Case Law and Regulation. Computer Law Review International, 25(2), 33-41. https://doi.org/10.9785/cri-2024-250201

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Li, Q. (2024). AI-enabled price discrimination: A competition law and economics perspective . [Doctoral Thesis, Maastricht University]. ProefschriftMaken. https://doi.org/10.26481/dis.20240326ql

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Li, Q., Philipsen, N., & Cauffman, C. (2023). AI-enabled price discrimination as an abuse of dominance: a law and economics analysis. China-EU Law Journal, 9(1-4), 51-72. https://doi.org/10.1007/s12689-023-00099-z

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Li, Q., & Philipsen, N. (2023). 人工智能驱动下算法价格歧视的反垄断规制:一个法经济学分析. 财经法学 (Law and Economy), (4), 82-102.

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Kollnig, K., & Li, Q. (2023). Exploring Antitrust and Platform Power in Generative AI. Paper presented at Workshop on Generative AI and Law, Honolulu, Hawaii, United States. https://genlaw.org/CameraReady/21.pdf

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Li, Q., & Philipsen, N. (2022). Why AI-enabled price discrimination is not always undesirable: lessons from law and economics. Web publication/site, Maastricht University. https://www.maastrichtuniversity.nl/blog/2022/06/why-ai-enabled-price-discrimination-not-always-undesirable-lessons-law-and-economics

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Qian Li (Q.)