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Title:Constitutional challenges in the algorithmic society Editor(s):MICKLITZ, Hans-Wolfgang
; POLLICINO, Oreste; REICHMAN, Amnon; SIMONCINI, Andrea; SARTOR, Giovanni; DE GREGORIO, GiovanniDate:2022Citation:
- Cambridge : Cambridge University Press, 2022
Type:BookAbstract:New technologies have always challenged the social, economic, legal, and ideological status quo. Constitutional law is no less impacted by such technologically driven transformations, as the state must formulate a legal ...
; POLLICINO, Oreste; REICHMAN, Amnon; SIMONCINI, Andrea; SARTOR, Giovanni; DE GREGORIO, GiovanniDate:2022Citation:
Title:Regulating innovation in the digital age : towards a demand-conscious regulatory paradigm Author(s):DIVISSENKO, Nikita 
Date:2022Citation:
- Florence : European University Institute, 2022
Type:ThesisSeries/Number:EUI PhD theses; Department of LawAbstract:This thesis contributes to the debate over the role, impact, and limitations of regulation as a tool for shaping innovative markets. This contribution delineates the issues that arise at the intersection of innovation that ...
Date:2022Citation:
Title:Unlocking the potential of AI : opportunities and challenges for European policy Author(s):HANSPACH, Philip ; SANCHEZ DEL VILLAR SANTAMARÍA, Marina IsabelDate:2021Type:OtherSeries/Number:Policy Briefs; 2021/16; Florence School of Regulation; [Communications and Media]Abstract:On 14 January 2021, members of the European Parliament’s (EP) committee on Artificial Intelligence in a Digital Age (AIDA) consulted with experts from the European University Institute (EUI) on topics in the regulation of ...
; SANCHEZ DEL VILLAR SANTAMARÍA, Marina IsabelDate:2021Type:OtherSeries/Number:Policy Briefs; 2021/16; Florence School of Regulation; [Communications and Media]Abstract:On 14 January 2021, members of the European Parliament’s (EP) committee on Artificial Intelligence in a Digital Age (AIDA) consulted with experts from the European University Institute (EUI) on topics in the regulation of ...
Title:Algorithmic collusion with imperfect monitoring Author(s):CALVANO, Emilio; CALZOLARI, Giacomo ; DENICOLO, Vincenzo; PASTORELLO, SergioDate:2021Citation:
- International journal of industrial organization, 2021, Vol. 79, Art. 102712, OnlineOnly
Type:ArticleAbstract:We show that if they are allowed enough time to complete the learning, Q-learning algorithms can learn to collude in an environment with imperfect monitoring adapted from Green and Porter (1984), without having been ...
; DENICOLO, Vincenzo; PASTORELLO, SergioDate:2021Citation:
Title:Autonomous algorithmic collusion : economic research and policy implications Author(s):ASSAD, Stephanie; CALVANO, Emilio; CALZOLARI, Giacomo ; CLARK, Robert; DENICOLÒ, Vincenzo; ERSHOV, Daniel; JOHNSON, Justin; PASTORELLO, Sergio; RHODES, Andrew; XU, Lei; WILDENBEEST, MatthijsDate:2021Citation:
- Oxford review of economic policy, 2021, Vol. 37, No. 3, pp. 459–478
Type:ArticleAbstract:Markets are being populated with new generations of pricing algorithms, powered with artificial intelligence (AI), that have the ability to autonomously learn to operate. This ability can be both a source of efficiency and ...
; CLARK, Robert; DENICOLÒ, Vincenzo; ERSHOV, Daniel; JOHNSON, Justin; PASTORELLO, Sergio; RHODES, Andrew; XU, Lei; WILDENBEEST, MatthijsDate:2021Citation:
Title:Algorithmic collusion, genuine and spurious Author(s):CALVANO, Emilio; CALZOLARI, Giacomo ; DENICOLÒ, Vincenzo; PASTORELLO, SergioDate:2021Type:Working PaperSeries/Number:CEPR Discussion Papers; 2020/16393Abstract:We clarify the difference between the asynchronous pricing algorithms analyzed by Asker, Fershtman and Pakes (2021) and those considered in the previous literature. The difference lies in the way the algorithms explore: ...
; DENICOLÒ, Vincenzo; PASTORELLO, SergioDate:2021Type:Working PaperSeries/Number:CEPR Discussion Papers; 2020/16393Abstract:We clarify the difference between the asynchronous pricing algorithms analyzed by Asker, Fershtman and Pakes (2021) and those considered in the previous literature. The difference lies in the way the algorithms explore: ...
Title:Behaviourally informed retail financial regulation : turning bias into bliss? Author(s):YIATROU, Mikaella Date:2020Citation:
- Florence : European University Institute, 2020
Type:ThesisSeries/Number:EUI PhD theses; Department of LawAbstract:The thesis examines whether the existing European retail investor protection legislation can be interpreted to be taking into account behavioural heuristics, biases, and norms that the average individual exhibits in their ...
Date:2020Citation:
Title:Protecting consumers from collusive prices due to AI Author(s):CALZOLARI, Giacomo ; DENICOLÒ, Vincenzo; CALVANOL, Emilio; HARRINGTON Jr., Joseph E.; PASTORELLOL, SergioDate:2020Citation:
- Science, 2020, Vol. 370, No. 6520, pp. 1040-1042
Type:ArticleAbstract:The efficacy of a market system is rooted in competition. In striving to attract customers, firms are led to charge lower prices and deliver better products and services. Nothing more fundamentally undermines this process ...
; DENICOLÒ, Vincenzo; CALVANOL, Emilio; HARRINGTON Jr., Joseph E.; PASTORELLOL, SergioDate:2020Citation:
Title:Models of law and regulation for AI Author(s):PETIT, Nicolas ; DE COOMAN, JeromeDate:2020Type:Working PaperSeries/Number:EUI RSCAS; 2020/63Abstract:This paper discusses models of law and regulation of Artificial Intelligence (“AI”). The discussion focuses on four models: the black letter model, the emergent model, the ethical model, and the risk regulation model. All ...
; DE COOMAN, JeromeDate:2020Type:Working PaperSeries/Number:EUI RSCAS; 2020/63Abstract:This paper discusses models of law and regulation of Artificial Intelligence (“AI”). The discussion focuses on four models: the black letter model, the emergent model, the ethical model, and the risk regulation model. All ...
Title:Artificial intelligence, algorithmic pricing, and collusion Author(s):CALVANO, Emilio; CALZOLARI, Giacomo ; DENICOLÒ, Vincenzo; PASTORELLO, SergioDate:2020Citation:
- American economic review, 2020, Vol. 110, No. 10, pp. 3267-3297
Type:ArticleAbstract:Increasingly, algorithms are supplanting human decision-makers in pricing goods and services. To analyze the possible consequences, we study experimentally the behavior of algorithms powered by Artificial Intelligence ...
; DENICOLÒ, Vincenzo; PASTORELLO, SergioDate:2020Citation: