Vol. 2 (2016): post(s) 2
Radar

Patrón no reconocido

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  • Miguel Loor
Miguel Loor
Universidad San Francisco de Quito
Bio
DOI: https://doi.org/10.18272/posts.v2i1.813

Published 2016-08-01

Keywords

  • facial recognition,
  • cyborg,
  • digital art,
  • surveillance,
  • social media

How to Cite

Loor, M. (2016). Patrón no reconocido . Post(s), 2(1). https://doi.org/10.18272/posts.v2i1.813

Copyright (c) 2016 Miguel Loor

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Abstract

Los sistemas de reconocimiento facial son cada vez más insertados en artefactos cotidianos. Este artículo examina cómo operan a partir de patrones y algoritmos preestablecidos, así como también su utilidad para intereses corporativos y estatales. Adicionalmente, este trabajo sostiene el argumento crítico de "No recognizable pattern", una serie de fotografías que imagina identidades digitales alternativas, a través de retratos con referencias al cyborg, con el fin de generar plantillas biométricas irreconocibles, para burlar los mecanismos de vigilancia que se expanden en el ambiente tecnológico actual.

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References

  1. Baer, D. (2014) Mark Zuckerberg Explains Why Facebook Doesn"™t "˜Move Fast And Break Things"™ Anymore. Available at: http://www.businessinsider.com/mark-zuckerberg-on-facebooks-new-motto-2014-5?IR=T (Accessed: 10 August 2015).
  2. Burns, J. (2015) The Anti-Surveillance State: Clothes and Gadgets Block Face Recognition Technology, Confuse Drones and Make You (Digitally) Invisible. Available at: http://www.alternet.org/news-amp-politics/anti-surveillance-state-clothes-and-gadgets-block-face-recogni-tion-technology (Accessed: 10 August 2016)
  3. Cheney-Lippold, J. (2011) "˜A New Algorithmic Identity: Soft Biopolitics and the Modu-lation of Control"™, Theory, Culture & Society, 28(6), pp. 164-181. doi: 10.1177/0263276411424420.
  4. Foucault, Michel. (1980) "˜Truth and power"™, in C. Gordon (ed.), Power/ Knowledge. Brighton: Harvester.
  5. Gates, K. A. (2011) Our biometric future: facial recognition technology and the culture of surveillance. New York: New York University Press.
  6. Haraway, D. J. (1991) Simians, Cyborgs, and Women: The Reinvention of Nature. New York: Routledge.
  7. Haraway, D. J. (1997) Modest Witness@Second Millenium. FemaleMan Meets OncoMouse: Feminism and Technoscience. London: Taylor & Francis.
  8. Kember, S. (2014) "˜Face Recognition and the Emergence of Smart Pho-tography"™, Journal of Visual Culture, 13(2), pp. 182-199. doi: 10.1177/1470412914541767.
  9. Kember, S. and Zylinska, J. (2012) Life after new media: mediation as a vital process. Cambridge, MA: MIT Press.
  10. Li, S. Z. and Jain, A. K. (eds.). (2011) Handbook of Face Recognition. 2nd edn. New York: Springer-Verlag New York.
  11. Lyon, D. (2014) "˜Surveillance, Snowden, and Big Data: Capacities, consequences, critique"™, Big Data & Society, 1(2). doi: 10.1177/2053951714541861.
  12. McGarry, K., Martin, A. and Addison, D. (2005) "˜Data Mining and User Profiling for an E-Commerce System"™, in Classification and Clustering for Knowledge Discovery. Springer Science + Business Media, pp. 175-189.
  13. Noble, A. (2016) U.S. airports to roll out facial-recognition software to catch fake passports. Available at: http://www.washingtontimes.com/news/2016/jan/21/us-airports-roll-out-facial-recognition-software/ (Accessed: 05 July 2016)
  14. Noyes, K. (2016) Your face is big data:"™ The title of this photographer"™s experiment says it all. Available at: http://www.pcworld.com/ar-ticle/3055305/analytics/your-face-is-big-data-the-title-of-this-photog-raphers-experiment-says-it-all.html (Accesed: 05 July 2016)
  15. Risen, J. and Poitras, L. (2014) N.S.A. Collecting Millions of Faces From Web Images. Available at: http://www.nytimes.com/2014/06/01/us/nsa-collecting-mil-lions-of-faces-from-web-images.html (Accessed: 20 August 2015)
  16. Roberts, J.J (2015) Walmart"™s Use of Sci-fi Tech To Spot Shoplifters Raises Privacy Questions. Available at: http://fortune.com/2015/11/09/wal-mart-facial-recognition/ (Accessed: 05 July 2016)
  17. Schmitt, P. (n.d.). Unseen Portraits - Philipp Schmitt. Available at: http://philippschmitt.com/projects/unseen-portraits (Accessed: 05 July 2016)
  18. Solon, O. (2014) Car camera system knows when you have road rage (Wired UK). Available at: http://www.wired.co.uk/news/ar-chive/2014-03/18/in-car-emotion-detector (Accessed: 23 August 2015).
  19. Star, S. L. and Bowker, G. C. (2000) Sorting Things Out: Classification and Its Consequences (Inside Technology). Cambridge, MA: The MIT Press.
  20. Suchman, L. A. (2007) Human-Machine Reconfigurations: Plans and Situated Actions. 2nd edn. Cambridge: Cambridge University Press (Virtual Publishing).
  21. Taigman, Y., Yang, M., Ranzato, M. and Wolf, L. (2014) "˜DeepFace: Closing the Gap to Human-Level Performance in Face Verification"™, 2014 IEEE Conference on Computer Vision and Pattern Recognition, . doi: 10.1109/cvpr.2014.220.