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Big Data: ranking dos cidadãos como instrumento de controle social
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Orientador(es)
Resumo(s)
As mudanças trazidas pela associação entre metodologias de informação e tecnologia
possibilitaram alterações significativas para as sociedades industrializadas. Atualmente,
o controlo, a disciplina e a segmentação são potencializados pela combinação de dados
e algoritmos.
Esta dissertação pretende contribuir para o debate acerca da relação das novas
tecnologias da informação e metodologias de controlo social, verificando como tais
métodos são responsáveis por sistemas que promovem, com distintas finalidades, a
categorização e o ranking de indivíduos.
Baseando-se na análise e contextualização de diferentes modelos, toma-se como
exemplos três metodologias, sendo elas: o sistema de crédito social chinês, sistemas de
governança, gerenciamento de riscos e conformidade de princípios e o cadastro positivo
brasileiro.
Abordando a responsabilização sobre o uso de tais metodologias e visando contribuir
para a discussão sobre os impactos da utilização de máquinas em decisões que afetam
diretamente as sociedades contemporâneas, busca-se verificar a hipótese de que tais
modelos podem fomentar o crescimento das diferenças sociais e econômicas.
The changes brought about by the association between information and technology methodologies have enabled significant changes for industrialized societies. Currently, control, discipline and segmentation are enhanced by the combination of data and algorithms. This dissertation intends to contribute to the debate about the connection between new information technologies and social control methodologies, verifying how these methods are responsible for systems that promote, with different purposes, the categorization and ranking of individuals. Based on the analysis and contextualization of different models, three methodologies are taken as examples, namely: the Chinese social credit system, governance systems, risk and principle compliance management and the Brazilian “positive register”. Addressing accountability on the use of such methodologies and aiming to contribute to the discussion on the impacts of the use of machines on decisions that directly affect contemporary societies, this study seeks to verify the hypothesis that such models can foster the growth of social and economic inequalities.
The changes brought about by the association between information and technology methodologies have enabled significant changes for industrialized societies. Currently, control, discipline and segmentation are enhanced by the combination of data and algorithms. This dissertation intends to contribute to the debate about the connection between new information technologies and social control methodologies, verifying how these methods are responsible for systems that promote, with different purposes, the categorization and ranking of individuals. Based on the analysis and contextualization of different models, three methodologies are taken as examples, namely: the Chinese social credit system, governance systems, risk and principle compliance management and the Brazilian “positive register”. Addressing accountability on the use of such methodologies and aiming to contribute to the discussion on the impacts of the use of machines on decisions that directly affect contemporary societies, this study seeks to verify the hypothesis that such models can foster the growth of social and economic inequalities.
Descrição
Palavras-chave
Algoritmos Controlo Big Data Disciplina Crédito social Cadastro positivo. Algorithms Control Discipline Social credit Positive register