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X-WR-CALNAME:GREYC UMR CNRS 6072 - Groupe de Recherche en Informatique, Image, et Instrumentation de Caen
X-ORIGINAL-URL:https://www.greyc.fr
X-WR-CALDESC:évènements pour GREYC UMR CNRS 6072 - Groupe de Recherche en Informatique, Image, et Instrumentation de Caen
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TZID:Europe/Paris
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DTSTART:20250330T010000
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DTSTART:20251026T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20250604T140000
DTEND;TZID=Europe/Paris:20250604T150000
DTSTAMP:20260419T093416
CREATED:20250520T084501Z
LAST-MODIFIED:20250520T084501Z
UID:11867-1749045600-1749049200@www.greyc.fr
SUMMARY:Neily Sanon - L’identification et la mesure des biais dans les systèmes de reconnaissance facial
DESCRIPTION:Facial recognition systems exhibit varying levels of performance depending on demographic characteristics such as gender\, age\, or ethnic origin. These biases\, extensively documented in empirical studies\, raise critical concerns regarding reliability\, fairness\, and ethical compliance. \nThis presentation will examine the underlying sources of these biases\, whether they stem from dataset composition\, algorithmic choices\, or intersectional factors. It will also explore the different evaluation methods used to quantify performance disparities across groups\, along with mitigation strategies that can be applied at various stages of the processing pipeline Particular attention will be given to emerging certification mechanisms\, as regulatory authorities begin to incorporate bias evaluation into their assessment and approval processes.
URL:https://www.greyc.fr/event/neily-sanon-lidentification-et-la-mesure-des-biais-dans-les-systemes-de-reconnaissance-facial/
LOCATION:Sciences 3- S3 351
CATEGORIES:General,News,Safe,Séminaire Cryptologie et sécurité
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