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.
Autonomous algorithmic collusion: Economic research and policy implications / Assad, Stephanie; Calvano, Emilio; Calzolari, Giacomo; Clark, Robert; Denicolò, Vincenzo; Ershov, Daniel; Johnson, Justin; Pastorello, Sergio; Rhodes, Andrew; Xu, Lei; Wildenbeest, Matthijs. - In: OXFORD REVIEW OF ECONOMIC POLICY. - ISSN 0266-903X. - 37:3(2021), pp. 459-478. [10.1093/oxrep/grab011]
Autonomous algorithmic collusion: Economic research and policy implications
Emilio Calvano;
2021
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 | |
|---|---|---|---|
|
Autonomous algorithmic collusion.pdf
Solo gestori archivio
Tipologia:
Versione dell'editore
Licenza:
Tutti i diritti riservati
Dimensione
230.84 kB
Formato
Adobe PDF
|
230.84 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
