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Demographic Fairness in Biometric Systems: What Do the Experts Say?

Rathgeb, Christian ; Drozdowski, Pawel ; Frings, Dinusha C. ; Damer, Naser ; Busch, Christoph (2022)
Demographic Fairness in Biometric Systems: What Do the Experts Say?
In: IEEE Technology and Society Magazine, 41 (4)
doi: 10.1109/MTS.2022.3217700
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Biometric technologies [1] have become an integral component of many personal, commercial, and governmental identity management systems worldwide. Biometrics rely on highly distinctive characteristics of human beings, which make it possible for individuals to be reliably recognized using fully automated algorithms. Prominent examples of biometric characteristics used for recognition purposes are face, fingerprint, iris, and voice. Application scenarios of biometrics beyond personal devices (see [2] ) include, but are not limited to, border control (see [3] , [4] , and [5] ), forensic investigations, law enforcement (see [6] and [7] ), and national ID systems (see [8] ).

Typ des Eintrags: Artikel
Erschienen: 2022
Autor(en): Rathgeb, Christian ; Drozdowski, Pawel ; Frings, Dinusha C. ; Damer, Naser ; Busch, Christoph
Art des Eintrags: Bibliographie
Titel: Demographic Fairness in Biometric Systems: What Do the Experts Say?
Sprache: Englisch
Publikationsjahr: 8 Dezember 2022
Verlag: IEEE
Titel der Zeitschrift, Zeitung oder Schriftenreihe: IEEE Technology and Society Magazine
Jahrgang/Volume einer Zeitschrift: 41
(Heft-)Nummer: 4
DOI: 10.1109/MTS.2022.3217700
Kurzbeschreibung (Abstract):

Biometric technologies [1] have become an integral component of many personal, commercial, and governmental identity management systems worldwide. Biometrics rely on highly distinctive characteristics of human beings, which make it possible for individuals to be reliably recognized using fully automated algorithms. Prominent examples of biometric characteristics used for recognition purposes are face, fingerprint, iris, and voice. Application scenarios of biometrics beyond personal devices (see [2] ) include, but are not limited to, border control (see [3] , [4] , and [5] ), forensic investigations, law enforcement (see [6] and [7] ), and national ID systems (see [8] ).

Freie Schlagworte: Biometrics, Bias, Fairness, User study, Machine learning
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
Hinterlegungsdatum: 05 Jan 2023 13:27
Letzte Änderung: 05 Jan 2023 13:27
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