Percepção dos Profissionais da TI sobre o Racismo Algorítmico em Tecnologias de Reconhecimento Facial

This work presents a preliminary investigation on the perceptions of professionals in the Information Technology (IT) field regarding algorithmic racism in facial recognition technologies, and identifies, alongside these professionals, strategies to mitigate the discriminatory impacts of this technology. Using a mixed methodology that combines qualitative and quantitative analysis, 57 responses from IT professionals in the southeastern region of Brazil were analyzed through a questionnaire, revealing diverse perceptions: while the majority recognize the potential of algorithms to reproduce racial inequalities, conceptual gaps about the problem persist. Contradictions were also identified in the responses regarding the use of facial recognition: many participants support the technology, yet at the same time express concerns about its ethical risks, such as biases, errors, and lack of regulation. The mitigation suggestions varied according to professional profiles. The study contributes to the debate on algorithmic racism in Brazil and points to pathways for mitigating this issue.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-12-31
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Percepção dos Profissionais da TI sobre o Racismo Algorítmico em Tecnologias de Reconhecimento Facial

Journal of the Association for Information Systems
Geochemistry and Geologic Mapping
article

Percepção dos Profissionais da TI sobre o Racismo Algorítmico em Tecnologias de Reconhecimento Facial

article en

Abstract

This work presents a preliminary investigation on the perceptions of professionals in the Information Technology (IT) field regarding algorithmic racism in facial recognition technologies, and identifies, alongside these professionals, strategies to mitigate the discriminatory impacts of this technology. Using a mixed methodology that combines qualitative and quantitative analysis, 57 responses from IT professionals in the southeastern region of Brazil were analyzed through a questionnaire, revealing diverse perceptions: while the majority recognize the potential of algorithms to reproduce racial inequalities, conceptual gaps about the problem persist. Contradictions were also identified in the responses regarding the use of facial recognition: many participants support the technology, yet at the same time express concerns about its ethical risks, such as biases, errors, and lack of regulation. The mitigation suggestions varied according to professional profiles. The study contributes to the debate on algorithmic racism in Brazil and points to pathways for mitigating this issue.

Journal of the Association for Information Systems
Reduced inequalities
Openalex Percentile: Top 36%
Geochemistry and Geologic Mapping
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Percepção dos Profissionais da TI sobre o Racismo Algorítmico em Tecnologias de Reconhecimento Facial · Journal of the Association for Information Systems (2025) | TGRS Research Map | TGRS