Discriminação algorítmica: perspectivas éticas e governança
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TCC
Date
2020-12
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Authors
Leriam, Gabriella
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Ariente, Eduardo Altomare
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Volume Title
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Abstract
O artigo tem como objetivo analisar as diferentes formas de discriminação
algorítmica, esclarecendo o potencial discriminatório das decisões automatizadas. Primeiro,
discutiremos os conceitos de algoritmo, vieses e discriminação algorítmica, apontando as razões
pelas quais esses conceitos são tão importantes na economia atual que é movida por dados. Em
seguida, abordaremos como os algoritmos, em conjunto com o Big Data, alteram os processos
de decisões e podem gerar desafios a respeito do risco de condutas discriminatórias. O último
capítulo expõe possíveis soluções para o tema da discriminação algorítmica, apresentando
diversos princípios debatidos entre os especialistas nas áreas, com enfoque na transparência
como solução efetiva para resolver as questões colocadas durante o desenvolvimento do artigo.
The aim of this article is to analyze the theories about algorithmic bias, explaining the discriminatory potential of automatic decisions. First, we will discuss the concepts of algorithm, biases and algorithmic bias, pointing out the reasons why these concepts are so important for today’s data-driven economy. Then we will consider how algorithm, together with Big Data, change the decision-making processes and can create challenges regarding the risk of discriminatory conducts. The last chapter presents possible solutions for the algorithmic bias issue, showing various principles discussed by experts in this area, with a focus on transparency as an effective solution to the questions raised during the article development process.
The aim of this article is to analyze the theories about algorithmic bias, explaining the discriminatory potential of automatic decisions. First, we will discuss the concepts of algorithm, biases and algorithmic bias, pointing out the reasons why these concepts are so important for today’s data-driven economy. Then we will consider how algorithm, together with Big Data, change the decision-making processes and can create challenges regarding the risk of discriminatory conducts. The last chapter presents possible solutions for the algorithmic bias issue, showing various principles discussed by experts in this area, with a focus on transparency as an effective solution to the questions raised during the article development process.
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Keywords
inteligência artificial , vieses , discriminação algorítmica , governança algorítmica , artificial intelligence , biases , algorithmic bias , control algorithm