Abstract
The emergence of data-driven business models, data analytics and algorithms provide unprecedented opportunities to gain and maintain a competitive advantage on the part of big tech service providers whose main income is from the analysis, processing and selling of data. However, this also triggers high exposure by individuals through technology because there seems to be a significant imbalance between providers and users. The use of digital services and the utilisation of algorithms and artificial intelligence (AI) is now essential in the enforcement activities of various regulatory agencies prosecuting consumer protection, competition and data protection infringements, and it seems that it is necessary to provide a coordinated answer to the issues raised by new business models, considering the interplay between privacy law, competition law and consumer protection law issues.
Adam Liber acted as working group lead. Lili Albert and Judit Firniksz acted as working group members.
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Notes
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Liber, A., Albert, L., Firniksz, J. (2023). Hungary. In: Kilpatrick, B., Kobel, P., Këllezi, P. (eds) Antitrust in Data Driven Markets & Legal Framework for Influencers, Native Advertising and Control over the Use of AI in Marketing. LIDC Contributions on Antitrust Law, Intellectual Property and Unfair Competition. Springer, Cham. https://doi.org/10.1007/978-3-031-07422-6_16
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