%0 Report
%9 Working Paper
%A Assad, Stephanie
%A Calvano, Emilio
%A Calzolari, Giacomo
%A Clark, Robert
%A Denicolo, Vincenzo
%A Ershov, Daniel
%A Johnson, Justin Pappas
%A Pastorello, Sergio
%A Rhodes, Andrew
%A XU, Lei
%A Wildenbeest, Matthijs
%B TSE Working Paper
%C Toulouse
%D 2021
%F publications:43525
%I Université Toulouse 1 Capitole
%K Algorithmic Pricing
%K Antitrust
%K Competition Policy
%K Artificial Intelligence
%K Collusion
%K Platforms.
%T Autonomous algorithmic collusion: economic research and policy implications
%U https://publications.ut-capitole.fr/id/eprint/43525/
%V 21-1210
%X Markets are being populated with new generations of pricing algorithms, powered with Artificial Intelligence, that hve 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.