Psychometrics, profiles and bias: The case for facial recognition
Psicometría, perfiles y sesgos: El caso del reconocimiento facial
Psicometria, perfis e vieses: O caso do reconhecimento facial
| 2021 | |
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psychometrics profile-dividum facial recognition bias psicometría perfil-dividuo reconocimiento facial sesgos psicometria perfil-dividuo reconhecimento facial vieses |
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| Español | |
| Universidad ORT Uruguay | |
| RAD | |
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https://revistas.ort.edu.uy/inmediaciones-de-la-comunicacion/article/view/3156
http://hdl.handle.net/20.500.11968/4326 |
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| Acceso abierto | |
| http://creativecommons.org/licenses/by/4.0 |
| Sumario: | 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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