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Machine hermeneutics, postphenomenology, and facial recognition technology

Abstract

I would like to introduce the notion of machine hermeneutics in this paper. The notion refers to hermeneutical activity performed by machines. Machines are now capable of making the very interpretive tasks, using artificial intelligence algorithms based on the technology of machine learning that used to be the exclusive domain of human beings. In making this claim, I am not talking about possible conscious machines of the future, but those existing here and now. With facial recognition algorithms, for example, machines are now performing routinely what must be regarded as hermeneutical analyses with astounding accuracy and power. Thus, machine hermeneutics supplements Don Ihde’s notion of material hermeneutics. In the latter, it is still human beings who do the interpretation, through the lenses provided the natural sciences; in this case, the natural sciences, or the technology afforded by the sciences, intervene between the human being and the world. In machine hermeneutics, on the contrary, the intervening comes in two layers. On the one hand, there is the usual intervention that Ihde talks about, but on the other, the artificial intelligence algorithm performs its own kind of intervention and interpretation, presenting an already interpreted result to the human beings, who then perceive it through the aid of the usual intervention such as the normal eyeglasses. Then the paper discusses the problem of how to justify the kind of perception that undergoes this process. In what sense can it be said that the algorithm is performing the right action, i.e., one such that the process comes up with a right picture of the world? I contend that this does not merely consist of technical excellence for the technology involved, but also ethical excellence. The two cannot be considered one apart from the other.

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References

  1. 5 popular uses of face recognition (2019) Sytoss.com. www.sytoss.com/blog/5-popular-uses-of-face-recognition/. Accessed 27 Nov 2019

  2. Bowyer KW (2004) Face recognition technology: security versus privacy. IEEE Technol Soc Mag 23:9–19

    Article  Google Scholar 

  3. Brey P (2004) Ethical aspects of facial recognition systems in public places. J Inf Commun Ethics Soc 2:97–109

    Article  Google Scholar 

  4. Capurro R (2010) Digital hermeneutics: an outline. AI Soc 25:35–42. https://doi.org/10.1007/s00146-009-0255-9

    Article  Google Scholar 

  5. Collins T (2019) Facial recognition: do you really control how your face is being used? USA Today. www.usatoday.com/story/tech/2019/11/19/police-technology-and-surveillance-politics-of-facial-recognition/4203720002/. Accessed 27 Nov 2019

  6. Friis J et al (2012) Book symposium on Don Ihde’s Expanding Hermeneutics: visualism in science. Philos Technol 25:249–270

    Article  Google Scholar 

  7. Harwell D (2019) A face-scanning algorithm increasingly decides whether you deserve the job. The Washington Post. www.washingtonpost.com/technology/2019/10/22/ai-hiring-face-scanning-algorithm-increasingly-decides-whether-you-deserve-job/. Accessed 27 Nov 2019

  8. Heidegger M (1977) The question concerning technology. In: Krell DF (ed) Basic writings. Harper & Row, New York

    Google Scholar 

  9. Hongladarom S (2013) Don Ihde: Heidegger’s technologies: postphenomenological perspectives. Mind Mach 23:269–272. https://doi.org/10.1007/s11023-012-9296-9

    Article  Google Scholar 

  10. Hongladarom S (Forthcoming) Ethics of AI and robotics: a buddhist viewpoint. Rowland & Littlefield, London

  11. Ihde D (1997) Thingly hermeneutics/technoconstructions. Man World 30:369–381

    Article  Google Scholar 

  12. Ihde D (1998) Expanding hermeneutics: visualism in science. Northwestern University Press, Evanston

    Google Scholar 

  13. Ihde D (2005) More material hermeneutics. Yearbook of the institute for advanced studies on science. Technology and Society. Profil Verlag, Munich/Vienna, pp 341–350

    Google Scholar 

  14. Ihde D (2010) Heidegger’s technologies: postphenomenological perspectives. Fordham University Press, New York

    Book  Google Scholar 

  15. Ihde D (2012) Postphenomenological re-embodiment. Found Sci 17:373–377

    Article  Google Scholar 

  16. Introna LD (2005) Disclosive ethics and information technology: disclosing facial recognition systems. Ethics Inf Technol 7:75–86

    Article  Google Scholar 

  17. Mjoseth J (2017) Facial recognition software helps diagnose rare genetic disease. National Human Genome Research Institute. www.genome.gov/news/news-release/Facial-recognition-software-helps-diagnose-rare-genetic-disease. Accessed 27 Nov 2019

  18. Sennaar K (2019) Facial recognition applications—security, retail, and beyond. Emerj.com.emerj.com/ai-sector-overviews/facial-recognition-applications/. Accessed 27 Nov 2019

  19. Tripathi AK (2016) The significance of digital hermeneutics for the philosophy of technology. In: Kelly M, Bielby J (eds) Information cultures in the digital age: a festschrift in honor of Rafael Capurro. Springer, Wiesbaden, pp 143–157

    Chapter  Google Scholar 

  20. Verbeek PP (2005) What things do: philosophical reflections on technology, agency and design. The Pennsylvania State University Press, University Park

    Google Scholar 

Download references

Acknowledgements

I would like to thank Arun Kumar Tripathi for his tireless effort in communicating with me during these past many months, giving me a lot of advice, papers to read, and many other things. Research for this article was partially supported by a grant from the Project on “Creating an Environment for Open Science,” Chulalongkorn University, 3rd year.

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Correspondence to Soraj Hongladarom.

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Hongladarom, S. Machine hermeneutics, postphenomenology, and facial recognition technology. AI & Soc (2020). https://doi.org/10.1007/s00146-020-00951-x

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Keywords

  • Machine hermeneutics
  • Material hermeneutics
  • Perception
  • Don Ihde
  • Artificial intelligence