Sobre el uso de Biometric Identification Systems (BISs) y la Inteligencia Artificiales (AI): de las biometrías autobiográficas a las biografías biométricas

Autores/as

  • Pablo Gobira
  • Emanuelle Silva

DOI:

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

Palabras clave:

Sistemas de Identificación Biométrica, Inteligencia Artificial, Autobiografía, Biografía

Resumen

Este artículo es resultado de una investigación realizada en el Laboratorio de Poéticas Fronterizas (http://labfront.tk - CNPq/UEMG), grupo de investigación, desarrollo e innovación que propone pensar las fronteras de las relaciones entre arte, ciencia y Tecnología. Este texto, por tanto, pretende presentar un análisis de las aplicaciones, influencias y posibles resultados del uso indiscriminado de los Sistemas de Identificación Biométrica (BISs), los Sistemas de Identificación Biométrica. Proponemos aquí discutir cómo los requisitos y aplicaciones específicas, necesarias para habilitar identificaciones biométricas, generan un problema social (en el ámbito biográfico) que va más allá de los límites de la privacidad de los datos de sus usuarios, especialmente cuando se trata de tratarlos con Inteligencia Artificial. (IA).

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Biografía del autor/a

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].

Citas

ALTERMAN, Anton. “‘A piece of yourself’: Ethical issues in biometric identification”, in: Ethics and Information Technology, Kluwer Academic Publishers: Netherlands, v.5, no.3, 2003, p.139–150. DOI: https://doi.org/10.1023/B:ETIN.0000006918.22060.1f

BBC. “IBM abandons ‘biased’ facial recognition tech.” Disponível em: <https://www.bbc.com/news/technology-52978191> Acesso em: <24/01/2021>.

CHEN, Jiachen; JENKINS, Kenneth. “Facial recognition with PCA and machine learning methods”, In: Proceedings of the 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 2017, p.973-976. DOI: https://doi.org/10.1109/MWSCAS.2017.8053088

CONGER, Kate; FAUSSET, Richard; KOVALESKI, Serge F. “San Francisco Bans Facial Recognition Technology” in: The New York Times, 14 de Maio/2019. Disponível em:< https://www.nytimes.com/2019/05/14/us/facial-recognition-ban-s>. Acesso em: <04/02/2021>.

DUNSTONE, Ted; YAGER, Neil. “Biometric System and Data Analysis: Design, Evaluation, and Data Mining”. Springer: Eveleigh, Australia, 2009, 266pp. DOI: https://doi.org/10.1007/978-0-387-77627-9

GATES, Kelly A. “Our Biometric Future: Facial Recognition Technology and the Culture of Surveillance”. NEW YORK UNIVERSITY PRESS: New York and London, 2011, 276pp. DOI: https://doi.org/10.18574/nyu/9780814732090.001.0001

GAO, Yansong; BAO, GiaDoan; ZHANG, Zhi; MA, Siqi; ZHANG, Jiliang, FU, Anmin; NEPAL, Surya; KIM, Hyoungshick. “Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review”. ArXiv e-prints, 2020.

GOBIRA, Pablo. Arte, corpo e máquina: jogos digitais, sociedade do espetáculo e sex appeal do inorgânico. In: SILVA, Rogério B.; GOBIRA, Pablo; MARINHO, Francisco. (Org.). Múltiplas interfaces: livros digitais, criação artística e reflexões contemporâneas. 1ed.Belo Horizonte: Scriptum, 2018b, v. 1, p. 133-144.

GOBIRA, Pablo. Museus e paisagens culturais pós-digitais. In: GOBIRA, Pablo. (Org.). Percursos contemporâneos: realidades da arte, ciência e tecnologia. 1ed.Belo Horizonte: EdUEMG, 2018a, v. 1, p. 83-98.

GOBIRA, Pablo. Os desafios da crítica biográfica na sociedade espetacular: a tecnologia digital, a biografia perpétua e o controle da memória. In: AGUIAR, Ana Lígia Leite; SERAFIM, José Francisco; LIMA, Rachel Esteves; COELHO, Sandra Straccialano. (Orgs.) O espaço biográfico: perspectivas interdisciplinares.1 ed. Salvador: EdUFBA, 2016, v.1, p. 8-16.

KAIRINOS, Nikolas. “The integration of biometrics and AI”, in: Biometric Technology Today, vol.5, maio de 2019, p.8–10. doi:10.1016/s0969-4765(19)30069-4. DOI: https://doi.org/10.1016/S0969-4765(19)30069-4

KITCHIN, Rob. “The ethics of smart cities and urban science”, in: Philosophical Transactions A: The Royal Society Publishing, A 374, 15 de janeiro 2016, p.1-15. DOI: https://doi.org/10.1098/rsta.2016.0115

KOBIE, Nicole. “The Complicated Truth about China’s social credit system”, in: WIRED, Junho 7/2019. Disponível em: <https://www.wired.co.uk/article/china-social-credit-system-explained>. Acesso em: <22/01/2021>.

LISETTI, Christine L.; SCHIANO, Diane J. “Automatic Facial Expression Interpretation: Where Human-Computer Interaction, Artificial Intelligence and Cognitive Science Intersect”, In: Pragmatics and Cognition (Special Issue on Facial Information Processing: A Multidisciplinary Perspective), vol.8, ed.1, 2000, p.185-235. DOI: https://doi.org/10.1075/pc.8.1.09lis

LOHR, Steve. “ Facial Recognition Is Accurate, if You’re a White Guy”, in: The New York Times, Fev. 9, 2018. Disponível em: <https://www.nytimes.com/2018/02/09/technology/facial-recognition-race-artificial-intelligence.html>. Acesso em: <27/01/2021>.

LUIS-GARCÍA, Rodrigo; ALBEROLA-LÓPEZ, Carlos; AGHZOUT, Otman; RUIZ-ALZOLA, Juan. “Biometric identification systems”, in: Signal Processing, vol.83, no.12, 2003, p.2539-2557. 10.1016/j.sigpro.2003.08.001. DOI: https://doi.org/10.1016/j.sigpro.2003.08.001

O’CONNOR, Brian; ROY, Kaushik. “Facial Recognition using Modified Local Binary Pattern and Random Forest”, in: International Journal of Artificial Intelligence & Applications (IJAIA), vol. 4, n. 6, novembro de 2013, p.25-33. DOI: https://doi.org/10.5121/ijaia.2013.4603

PASCU, Luana. “Researchers use Instagram mask selfies to improve biometric facial recognition algorithms”. in: BIOMETRIC Update.com, Maio 20/2020. Disponível em: <https://www.biometricupdate.com/202005/researchers-use-instagram-mask-selfies-to-improve-biometric-facial-recognition-algorithms>. Acesso em: <23/01/2021>.

POOLE, David; MACKWORTH, Alan; GOEBEL, Randy. Randy. “Computational Intelligence: A Logical Approach”. Oxford University Press: Londres, 1998.

PRAKASH, Annamalai; KRISHNAVENI, Raju; DHANALAKSHMI, Ranganayakulu. “Soft Biometrics Traits for Continuous Authentication in Online Exam Using ICA Based Facial Recognition”, in: International Journal of Network Security, vol.20, n.3, maio de 2018, p.423-432.

RASHID, Rozeha A.; MAHALIN, Nur H.; SARIJARI, Mohd A.; AZIZ, Ahmad A. A. “Security System Using Biometric Technology: Design and Implementation of Voice Recognition System (VRS)”, in: Proceedings of the International Conference on Computer and Communication Engineering 2008: Kuala Lumpur, Malaysia, 13-15 de maio, 2008, p.898-902. DOI: https://doi.org/10.1109/ICCCE.2008.4580735

REID, Alana. “Are filters on social media being used to collect your identity?”, in: 8MS, Abril 6/2020. Disponível em: <https://8ms.com/blog/are-filters-on-social-media-being-used-to-collect-your-identity/> Acesso em: <23/01/2021>.

SADOWSKI, Jathan; PASQUALE, Frank. “The Spectrum of Control: a social theory of the smart city”, in: First Monday, vol. 20, n. 7, 6 de julho de 2015, p.1-22. DOI: https://doi.org/10.5210/fm.v20i7.5903

SARKAR, Esha; BENKRAOUDA, Hadjer; MANIATAKOS, Michail. “FaceHack: Triggering backdoored facial recognition systems using facial characteristics”, arXiv preprint, ar- Xiv:2006.11623, 2020. DOI: https://doi.org/10.1109/TBIOM.2021.3132132

SOLTAR, Colin. “Biometric System Security”. Disponível em: <http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=B013D67DACE34C0A365D77E3CD63CE80?doi=10.1.1.453.4790&rep=rep1&type=pdf>. Acesso em: <10/10/2021>.

SOUTAR, Colin. “Security Considerations for the Implementation of Biometric Systems”. In: RATHA, Nalini; BOLLE, Ruud. (Eds.) Automatic Fingerprint Recognition Systems, Springer: Heidelberg, 2004, p.415–431. DOI: https://doi.org/10.1007/0-387-21685-5_20

VAN DER PLOEG, Irma. “The illegal body: ‘Eurodac’ and the politics of biometric identification”. in: Ethics and Information Technology, Kluwer Academic Publishers: Netherlands, v.1, 2000, p.295–302. DOI: https://doi.org/10.1023/A:1010064613240

VAN ZOONEN, Liesbet. “Privacy concerns in smart cities”, in: Government Information Quarterly, vol. 33, ed. 3, 2016, p.472-480. DOI: https://doi.org/10.1016/j.giq.2016.06.004

WRIGHT, Elias. “The Future of Facial Recognition Is Not Fully Known: developing privacy and security regulatory mechanisms for facial recognition in the retail sector”, The Fordham Intellectual Property, Media & Entertainment Law Journal, Vol.29, n.6, 2019, p.611-685.

WU, Xindong; ZHU, Xingquan; WU, Gong-Qing, DING, Wei. “Data Mining with Big Data”, in: IEEE Transactions on Knowledge and Data Engineering. IEEE Transactions on Knowledge and Data Engineering, vol. 26, p.97–107. DOI: https://doi.org/10.1109/TKDE.2013.109

ZUBOFF, Shoshana. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York: PublicAffairs, 2019. 691p.

Publicado

2022-06-14

Cómo citar

Gobira, P., & Silva, E. (2022). Sobre el uso de Biometric Identification Systems (BISs) y la Inteligencia Artificiales (AI): de las biometrías autobiográficas a las biografías biométricas. DAT Journal, 7(2), 147–162. https://doi.org/10.29147/datjournal.v7i2.591