Vol. 2 (2016): post(s) 2
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Non Recognizable Pattern

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

Publicado 2016-08-01

Palabras clave

  • reconocimiento facial,
  • cyborg,
  • arte digital,
  • vigilancia,
  • redes sociales

Cómo citar

Loor, M. (2016). Non Recognizable Pattern . Post(s), 2(1). https://doi.org/10.18272/posts.v2i1.813

Derechos de autor 2016 Miguel Loor

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.

Resumen

Facial recognition systems are increasingly embedded into everyday artifacts. This article examines how they operate based on preset patterns and algorithms, as well as their utility for corporate and state interests. Furthermore, this work sustains the critical argument of "No recognizable pattern", a photo series that envisages alternative digital identities, through 'cyborg imagery', in order to generate untraceable biometric templates to outwit surveillance methods that expand in the current technological environment.

 

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Citas

  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.