Bertille Picard

phd seminar
online

Bertille Picard

AMSE
Ensuring fairness of welfare-maximizing algorithms in experimental designs
Date(s)
Tuesday, January 25 2022| 11:00am to 11:45am
Contact(s)

Kenza Elass: kenza.elass[at]univ-amu.fr
Camille Hainnaux: camille.hainnaux[at]univ-amu.fr
Daniela Horta Saenz: daniela.horta-saenz[at]univ-amu.fr
Jade Ponsard: jade.ponsard[at]univ-amu.fr

Abstract

Welfare-maximizing algorithms offer new insights in experimental economics. During an experiment, they identify the most beneficial treatment for the subjects and thus maximize the experiment's overall welfare impact. However, for experimentalists or policy implementers, this implies transferring decision-making power to an algorithm. Allocating individuals to treatment arms using an algorithm exposes us to contemporary criticisms of artificial intelligence, such as discrimination or exacerbation of inequalities. Can we meet the requirements of fairness in these automated designs? I will present preliminary work implementing strategies to control inequalities generated by basic algorithms using recent results on inference in this experimental setup.

More information