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PRODID:-//AMSE//Event Calendar//FR
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UID:event-11748@www.amse-aixmarseille.fr
DTSTAMP:20260421T230551Z
CREATED:20260421T230551Z
LAST-MODIFIED:20260421T230551Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:big data and econometrics seminar - Sébastien Saurin
DTSTART:20250204T130000Z
DTEND:20250204T143000Z
DESCRIPTION:In credit markets\, screening algorithms aim to discriminate be
 tween good-type and bad-type borrowers. However\, when doing so\, they can 
 also discriminate between individuals sharing a protected attribute (e.g. g
 ender\, age\, racial origin) and the rest of the population. This can be un
 intentional and originate from the training dataset or from the model itsel
 f. We show how to formally test the algorithmic fairness of scoring models 
 and how to identify the variables responsible for any lack of fairness. We 
 then use these variables to optimize the fairness-performance trade-off. Ou
 r framework provides guidance on how algorithmic fairness can be monitored 
 by lenders\, controlled by their regulators\, improved for the benefit of p
 rotected groups\, while still maintaining a high level of forecasting accur
 acy.\\n\\nContact: Sullivan Hué: sullivan.hue[at]univ-amu.frMichel Lubrano
 : michel.lubrano[at]univ-amu.fr\n\nPlus d'informations: https://www.amse-ai
 xmarseille.fr/en/events/s%C3%A9bastien-saurin-2
LOCATION:Îlot Bernard du Bois - Amphithéâtre\, AMU - AMSE\, 5-9 boulevar
 d Maurice Bourdet\, 13001 Marseille
URL;VALUE=URI:https://www.amse-aixmarseille.fr/en/events/s%C3%A9bastien-saurin-2
CONTACT:Sullivan Hué: sullivan.hue[at]univ-amu.frMichel Lubrano: michel.lu
 brano[at]univ-amu.fr
TRANSP:OPAQUE
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