The Criminality From Face Illusion

The automatic analysis of face images can generate predictions about a person's gender, age, race, facial expression, body mass index, and various other indices and conditions. A few recent publications have claimed success in analyzing an image of a person's face in order to predict the p...

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Detalles Bibliográficos
Autor principal: Bowyer, Kevin W. (Autor)
Otros Autores: Vangara, Kushal ; Scheirer, Walter J. ; King, Michael
Tipo de documento: Electrónico Libro
Lenguaje:Inglés
Publicado: 2020
En:Año: 2020
Acceso en línea: Volltext (kostenfrei)
Verificar disponibilidad: HBZ Gateway
Descripción
Sumario:The automatic analysis of face images can generate predictions about a person's gender, age, race, facial expression, body mass index, and various other indices and conditions. A few recent publications have claimed success in analyzing an image of a person's face in order to predict the person's status as Criminal / Non-Criminal. Predicting criminality from face may initially seem similar to other facial analytics, but we argue that attempts to create a criminality-from-face algorithm are necessarily doomed to fail, that apparently promising experimental results in recent publications are an illusion resulting from inadequate experimental design, and that there is potentially a large social cost to belief in the criminality from face illusion