
handle: 2108/303885 , 11585/663367 , 1814/65858
Pricing decisions are increasingly in the “hands” of artificial algorithms. Scholars and competition authorities have voiced concerns that those algorithms are capable of sustaining collusive outcomes more effectively than human decision makers. If this is so, then our traditional policy tools for fighting collusion may have to be reconsidered. We discuss these issues by critically surveying the relevant law, economics and computer science literatures.
330, Algorithmic pricing · Competition policy · Artificial intelligence · Machine learning · Collusion, Settore SECS-P/01 - ECONOMIA POLITICA, B- ECONOMIE ET FINANCE
330, Algorithmic pricing · Competition policy · Artificial intelligence · Machine learning · Collusion, Settore SECS-P/01 - ECONOMIA POLITICA, B- ECONOMIE ET FINANCE
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