Markets are being populated with new generations of pricing algorithms, powered with Artificial Intelligence, that have the ability to autonomously learn to operate. This ability can be both a source of efficiency and cause of concern for the risk that algorithms autonomously and tacitly learn to collude. In this paper we explore recent developments in the economic literature and discuss implications for policy.
Assad, S., Calvano, E., Calzolari, G., Clark, R., Denicolò, V., Ershov, D., et al. (2021). Autonomous algorithmic collusion: Economic research and policy implications. OXFORD REVIEW OF ECONOMIC POLICY, 37(3), 459-478 [10.1093/oxrep/grab011].
Autonomous algorithmic collusion: Economic research and policy implications
Emilio Calvano;
2021-01-01
Abstract
Markets are being populated with new generations of pricing algorithms, powered with Artificial Intelligence, that have the ability to autonomously learn to operate. This ability can be both a source of efficiency and cause of concern for the risk that algorithms autonomously and tacitly learn to collude. In this paper we explore recent developments in the economic literature and discuss implications for policy.| File | Dimensione | Formato | |
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