Συμπαιγνία μέσω αλγορίθμων
Algorithmic collusion
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Keywords
Αλγόριθμοι τιμολόγησης ; Συμπαιγνία μέσω αλγορίθμων ; Αλγόριθμοι ; Μηχανική μάθηση ; Βαθιά μάθηση ; 101 ΣΛΕΕ ; Messenger ; Hub & Spoke ; Predictable Agent ; Digital Eye ; Pricing algorithms ; Algorithmic collusion ; Machine learning ; Deep learning ; 101 TFEU ; AlgorithmsAbstract
In the era of the digital economy, the algorithms are important tools for the businesses while at the same time they have significant benefits for the consumers. However, as prices are now set by advanced machine learning algorithms, questions arise as to whether this changes the competitive landscape, particularly if they are able to alter the structural characteristics of the market such as price transparency, high-speed trading or frequency of interactions which increase the likelihood of collusive outcomes, even without human intervention. This paper seeks to contribute to the interdisciplinary discussion by analyzing how pricing algorithms might facilitate collusion and presenting some of the possible collusion scenarios enhanced by algorithms. Further, it explores the effectiveness of the existing rules of the European law to tackle this phenomenon. Last but not least, it examines the attribution of liability in case of algorithmic collusion and presents alternative measures to counter act it.
Postgraduate Studies Programme
Δίκαιο και Τεχνολογίες Πληροφορικής και Επικοινωνιών (MSc in Law and Information and Communication Technologies)Department
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών ΣυστημάτωνNumber of pages
95Language
GreekCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα