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Implementing Fairness Constraints For Bias Mitigation in FRT; Consequences of Biased FRT on Disadvantaged Communities

The broader issue that both my technical and STS research papers tackle is that racial bias exists in facial recognition technology (FRT) and that bias can have serious negative consequences for marginalized groups. Some examples of these consequences are: wrongful arrests on the basis of faulty facial recognition matches, and racist image labelling by
openaire   +1 more source

FRT – FONDATION RENE TOURAINE

Experimental Dermatology, 2017
Earl, Carstens   +7 more
openaire   +2 more sources

FRTFONDATION RENE TOURAINE

Experimental Dermatology, 2016
Bosch, Thomas C G   +9 more
openaire   +3 more sources

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