PPGINF PÓS-GRADUAÇÃO EM ENGENHARIA DA INFORMAÇÃO FUNDAÇÃO UNIVERSIDADE FEDERAL DO ABC Phone: Not available http://propg.ufabc.edu.br/ppginfo

Banca de DEFESA: SELMA REGINA CARLOTO MARTINS GUEDES ROSSINI

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : SELMA REGINA CARLOTO MARTINS GUEDES ROSSINI
DATE: 21/07/2023
TIME: 15:00
LOCAL: https://conferenciaweb.rnp.br/sala/andre-39
TITLE:

ALGORITHMIC DISCRIMINATION IN ELECTRONIC HIRING PROCESSES AND A METHODOLOGY FOR THE ELIMINATION OF DISCRIMINATORY BIASES


PAGES: 150
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUBÁREA: Telecomunicações
SUMMARY:

Due to technological advancements, companies are increasingly adopting Artificial Intelligence (AI) systems in their departments, including human resources (HR) and recruitment and selection. However, it is observed that  the risks of violating human rights and fundamental principles are growing, primarily through algorithmic discrimination, where biases and stereotypes are replicated. The methodology employed in this thesis involved reviewing technical articles in engineering and computer science, along with comparative legal analysis encompassing Brazilian legislation and the more advanced European Union regulations in this field. Additionally, case studies were conducted, examining the technical and legal aspects of discriminatory biases and stereotypes considering the Brazilian General Data Protection Law (LGPD) and the General Data Protection Regulation (GDPR) of the European Union, with interdisciplinary dialogue with other fields such as philosophy. A recruitment and selection algorithm was developed, and statistical metrics related to discrimination were evaluated. Statistical tests were also conducted to analyze statistical significance of differences between groups. Based on the results and analyses obtained, a four-phase methodology was proposed to eliminate discriminatory biases in electronic selection processes. This methodology includes implementing labor compliance tools to eliminate historical biases, utilizing algorithms that do not handle sensitive data, validating non-discriminatory algorithms through statistical metrics, and adopting affirmative action when necessary.


COMMITTEE MEMBERS:
Presidente - Interno ao Programa - 2334927 - ANDRE KAZUO TAKAHATA
Membro Titular - Examinador(a) Interno ao Programa - 1761107 - RICARDO SUYAMA
Membro Titular - Examinador(a) Interno ao Programa - 2390463 - PRISCYLA WALESKA TARGINO DE AZEVEDO SIMOES
Membro Titular - Examinador(a) Externo à Instituição - NEWTON DE LUCCA - USP
Membro Titular - Examinador(a) Externo à Instituição - RAFAEL ALVES DE ALMEIDA
Membro Suplente - Examinador(a) Interno ao Programa - 1761105 - MURILO BELLEZONI LOIOLA
Membro Suplente - Examinador(a) Interno ao Programa - 2356637 - KENJI NOSE FILHO
Membro Suplente - Examinador(a) Externo à Instituição - MARCEL EDVAR SIMÕES
Membro Suplente - Examinador(a) Externo à Instituição - MARIANA ALMIRÃO DE SOUSA
Notícia cadastrada em: 27/06/2023 15:31
SIGAA | UFABC - Núcleo de Tecnologia da Informação - ||||| | Copyright © 2006-2024 - UFRN - sigaa-1.ufabc.int.br.sigaa-1-prod