Resumen

GOMEZ-BARRERA, JUAN CAMILO. Psychometrics, profiles and biases. The case of facial recognition. Inmediac. Comun [online]. 2021, vol.16, n.2, pp.63-81.  Epub 01-Dic-2021. ISSN 1510-5091.  https://doi.org/10.18861/ic.2021.16.2.3156.

Psychometric studies allow us measurements based on vector correlations that produce predictions of human behavioral traits. With increasing digitization, psychometrics has been used to design profiles of individuals through various mechanisms: big data, machine learning, among others. Far from being neutral, these profiles are based on methodologies which produce biases that affect the profiled individuals. This article shows how psychometrics elaborates a dividual-profile that generates a reduction of individuals and produces forms that augur the way in which they should behave. Here the conjecture is exemplified from the analysis of a case of psychometric measurement based on facial recognition.

Palabras clave : psychometrics; profile-dividum; facial recognition; biases.

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