The use of Biometric Identification Systems (BISs) and the Artificial Intelligence (AI)

from autobiographic biometry to biometric biographies

Authors

  • Pablo Gobira
  • Emanuelle Silva

DOI:

https://doi.org/10.29147/datjournal.v7i2.591

Keywords:

Biometric Identification Systems, Artificial Intelligence, Autobiography, Biography

Abstract

The paper presented here comes from the research developed in Laboratório de Poéticas Fronteiriças (http://labfront.tk - CNPq/UEMG), a research, development and innovation group that proposes to think the barriers of the relationship between art, science and technology. Therefore, this paper aims to introduce an analysis of the applications, influences and possible results of the indiscriminate use of Biometric Identification Systems (BISs). We want to debate how all of the specific requirements and applications, needed in order to make biometric identifications possible, end up creating a social problem (in the biographic field) that goes beyond the matter of data privacy from its users, specially when they are applied with Artificial Intelligences (AIs).

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Author Biographies

Pablo Gobira

Professor doutor da Escola Guignard (UEMG), do PPGArtes (UEMG) e do PPGGOC (UFMG). Pesquisador Produtividade (CNPq). Membro pesquisador e gestor de serviços da Rede Brasileira de Serviços de Preservação Digital (IBICT/MCTIC). Coordenador do grupo de pesquisa (CNPq) Laboratório de Poéticas Fronteiriças [http://labfront. tk]. Escritor e editor de diversos livros e artigos das áreas de curadoria, criação e produção das artes digitais e relações entre arte, ciência e tecnologia.

Emanuelle Silva

Mestranda em artes do PPGArtes (UEMG), membro do grupo de pesquisa (CNPq) Laboratório de Poéticas Fronteiriças [http:// labfront.tk].

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Published

2022-06-14

How to Cite

Gobira, P., & Silva, E. (2022). The use of Biometric Identification Systems (BISs) and the Artificial Intelligence (AI): from autobiographic biometry to biometric biographies. DAT Journal, 7(2), 147–162. https://doi.org/10.29147/datjournal.v7i2.591