Psychometrics, profiles and bias
The case for facial recognition
DOI:
https://doi.org/10.18861/ic.2021.16.2.3156Keywords:
psychometrics, profile-dividum, facial recognition, biasAbstract
Psychometric studies allow 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 proposes that 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.
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