Vers un virage algorithmique de la lutte anticartels ?
Nathalie de Marcellis-Warin,
Frédéric Marty and
Thierry Warin
Additional contact information
Nathalie de Marcellis-Warin: CIRANO - Centre interuniversitaire de recherche en analyse des organisations - UQAM - Université du Québec à Montréal = University of Québec in Montréal, EPM - École Polytechnique de Montréal
Post-Print from HAL
Abstract:
Since the seminal works of Ezrachi and Stucke (2015, 2016) on algorithmic collusion, the question of cartels supported or even prompted by pricing algorithms has occupied an important place in the literature of industrial economics and competition law. The purpose of this contribution is to analyze the extent to which monitoring algorithms to ensure the control and detection of possible algorithmic cartels themselves raise issues not only in the economic and legal fields but also in the ethical field. In this paper, we wish to analyze both the opportunities and the risks for competition authorities of the use of "algorithmic evidence" both at the level of the explicability of the result and of possible biases that may be introduced in the final result as well as at the level of their accountability to explain their decisions.
Keywords: pricing algorithm; algorithmic collusion; algorithmic governance; algorithmic evidence; explicability; bias; accountability; algorithme de prix; collusion algorithmique; gouvernance algorithmique; preuve algorithmique; explicabilité; biais; redevabilité (search for similar items in EconPapers)
Date: 2022-02-25
References: Add references at CitEc
Citations:
Published in Éthique publique : Revue internationale d'éthique sociétale et gouvernementale, 2022, La gouvernance algorithmique, 23 (2-2021)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-03589981
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().