Avaliação do Desempenho de Abordagens Computacionais para Inferência Automática de Tons de Pele
Resumo
Estimativas automáticas do tom de pele enfrentam desafios devido a vieses raciais e de gênero em abordagens de aprendizado de máquina. Neste trabalho, exploramos um conjunto de dados rotulado e avaliamos duas abordagens computacionais amplamente exploradas na literatura, ITA e CASCo, a fim de investigar a robustez e limitações nessa tarefa. Nossos resultados mostram que essas abordagens ainda apresentam falhas significativas, comprometendo sua aplicação em contextos reais onde a precisão é essencial.
Palavras-chave:
Inferência Automática de Tons de Pele, Vieses de aprendizado de máquina, Individual Topology Angle (ITA), Classification Algorithm for Skin Color (CASCo)
Referências
Buolamwini, J. and Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. In Proc. of FAT.
Chardon, A., Cretois, I., and Hourseau, C. (1991). Skin colour typology and suntanning pathways. Int. J. of Cosmet. Sci., 13(4):191–208.
Fitzpatrick, T. B. (1988). The validity and practicality of sun-reactive skin types I through VI. Archives of Dermatology, 124(6):869–871.
Khosla, N., Grullon, K., and Rosenblatt, A. (2021). Prevention of racialized medicine in pediatric dermatology: A call to re-examine skin tone typing. Pediatric Dermatology, 38:167–169.
Krishnapriya, K., Pangelinan, G., King, M. C., and Bowyer, K. W. (2022). Analysis of manual and automated skin tone assignments. In Proc. of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 429–438.
Leeb, G., Auchus, I., Law, T., Bickler, P. E., Feiner, J., Hashi, S., Monk, E. P., Igaga, E., Bernstein, M., Chou, Y., Hughes, C., Schornack, D., Lester, J., Moore, K., Okunlola, O., Fernandez, J., Shmuylovich, L., and Lipnick, M. (2024). The performance of 11 fingertip pulse oximeters during hypoxemia in healthy human participants with varied, quantified skin pigment. EBioMedicine.
René Alejandro Rejón Piña, C. M. (2023). Classification algorithm for skin color (CASCo): A new tool to measure skin color in social science research. Social Science Quarterly.
Schumann, C., Olanubi, G., Wright, A., Monk, J., Heldreth, C., and Ricco, S. (2023). Consensus and subjectivity of skin tone annotation for ML fairness. In NeurIPS.
Chardon, A., Cretois, I., and Hourseau, C. (1991). Skin colour typology and suntanning pathways. Int. J. of Cosmet. Sci., 13(4):191–208.
Fitzpatrick, T. B. (1988). The validity and practicality of sun-reactive skin types I through VI. Archives of Dermatology, 124(6):869–871.
Khosla, N., Grullon, K., and Rosenblatt, A. (2021). Prevention of racialized medicine in pediatric dermatology: A call to re-examine skin tone typing. Pediatric Dermatology, 38:167–169.
Krishnapriya, K., Pangelinan, G., King, M. C., and Bowyer, K. W. (2022). Analysis of manual and automated skin tone assignments. In Proc. of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 429–438.
Leeb, G., Auchus, I., Law, T., Bickler, P. E., Feiner, J., Hashi, S., Monk, E. P., Igaga, E., Bernstein, M., Chou, Y., Hughes, C., Schornack, D., Lester, J., Moore, K., Okunlola, O., Fernandez, J., Shmuylovich, L., and Lipnick, M. (2024). The performance of 11 fingertip pulse oximeters during hypoxemia in healthy human participants with varied, quantified skin pigment. EBioMedicine.
René Alejandro Rejón Piña, C. M. (2023). Classification algorithm for skin color (CASCo): A new tool to measure skin color in social science research. Social Science Quarterly.
Schumann, C., Olanubi, G., Wright, A., Monk, J., Heldreth, C., and Ricco, S. (2023). Consensus and subjectivity of skin tone annotation for ML fairness. In NeurIPS.
Publicado
27/11/2024
Como Citar
COSTA, Igor Joaquim da S.; SILVA, Thais F.; VASCONCELOS, Marisa; REIS, Julio C. S.; ALMEIDA, Jussara M.; ALMEIDA, Virgílio.
Avaliação do Desempenho de Abordagens Computacionais para Inferência Automática de Tons de Pele. In: CONFERÊNCIA LATINO-AMERICANA DE ÉTICA EM INTELIGÊNCIA ARTIFICIAL, 1. , 2024, Niteroi.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 105-108.
DOI: https://doi.org/10.5753/laai-ethics.2024.32463.
