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Aversion to hiring algorithms: Transparency, gender profiling, and self-confidence

Author

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  • Marie-Pierre Dargnies

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Rustamdjan Hakimov
  • Dorothee Kübler

Abstract

ASSET, the ASsociation of Southern-European Economic Theorists (ASsociation Soud-Européenne d'Economie Theoretique / ASociacion Sud-Europea de Economia Teorica), is a group of twenty one economics departments and economics research centres located in Cyprus, France, Greece, Israel, Italy, Portugal, Spain, Tunisia and Turkey. The purpose of the association is to encourage cooperation and exchange of researchers and ideas among the participating research institutions in the general field of analytical and quantitative economics and econometrics. To this end, ASSET organizes various scientific activities, in particular an annual meeting hosted by a different member institution each year. The scientific activities and meetings of ASSET are open to international scholars from all parts of the world. Since 1986 ASSET organizes an annual meeting, which is an international conference, that currently brings together about 200-250 researchers. This conference is open to researchers not only from member and other institutions located in Southern Europe and the Mediterranean region, but also from institutions outside this area. ASSET makes a concerted effort to promote the participation of young researchers from its members institutions in its annual meeting. Through its annual meetings ASSET is gradually becoming a focal point in southern Europe and the Mediterranean region for scientific exchanges in all areas of economics. ASSET 2023 will be hosted by the Católica Lisbon School of Business and Economics, of the Universidade Católica Portuguesa, between Thursday 19th and Saturday 21st October 2023.

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  • Marie-Pierre Dargnies & Rustamdjan Hakimov & Dorothee Kübler, 2023. "Aversion to hiring algorithms: Transparency, gender profiling, and self-confidence," Post-Print hal-04413060, HAL.
    • Handle: RePEc:hal:journl:hal-04413060
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    Cited by:

    1. Mallory Avery & Andreas Leibbrandt & Joseph Vecci, 2023. "Does Artificial Intelligence Help or Hurt Gender Diversity? Evidence from Two Field Experiments on Recruitment in Tech," Monash Economics Working Papers 2023-09, Monash University, Department of Economics.
    2. In'acio B'o & Li Chen & Rustamdjan Hakimov, 2023. "Strategic Responses to Personalized Pricing and Demand for Privacy: An Experiment," Papers 2304.11415, arXiv.org.
    3. Ivanova-Stenzel, Radosveta & Tolksdorf, Michel, 2023. "Measuring Preferences for Algorithms - Are people really algorithm averse after seeing the algorithm perform?," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277692, Verein für Socialpolitik / German Economic Association.
    4. Mathieu Chevrier & Brice Corgnet & Eric Guerci & Julie Rosaz, 2024. "Algorithm Credulity: Human and Algorithmic Advice in Prediction Experiments," GREDEG Working Papers 2024-03, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.

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    More about this item

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments

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