Operational Fairness for Facial Authentication Systems

How to design a facial authentication system taking into account both performance and fairness? We consider the choices that a developer makes when coding such a system, such as the training parameters, the architecture of the neural network or the authentication threshold. We evaluate their impact...

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Bibliographic Details
Published in:ERCIM News 2022
Main Authors: Gornet, Mélanie, Kirchner, Claude, Tessier, Catherine
Format: Text Resource
Language:English
Subjects:
Artificial Intelligence
Computer Science
Online Access:Get full text
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Summary:How to design a facial authentication system taking into account both performance and fairness? We consider the choices that a developer makes when coding such a system, such as the training parameters, the architecture of the neural network or the authentication threshold. We evaluate their impact on the global fairness of the system showing that fairness is not only affected by the training data but also by the multiple choices that are made when coding the model.
ISSN:0926-4981