The struggle for recognition in the age of facial recognition technology

Author:

Waelen Rosalie A.ORCID

Abstract

AbstractFacial recognition is a promising emerging technology, but it sometimes fails to recognize people adequately. Facial recognition applications have been found to regularly misidentify certain demographics, misinterpret traits like gender, age, beliefs, or emotions, and categorize individuals in ways that do not resonate with their own sense of identity. In this paper, I argue that in each of these cases, the person who has their face analyzed is not merely misidentified or misunderstood, but misrecognized in an ethically relevant sense. Following Charles Taylor’s The Politics of Recognition (1992) and Axel Honneth’s The Struggle for Recognition (1996), I describe how those subjected to facial recognition systems on the one hand struggle to obtain adequate recognition on a universal level, as being equally important to others, and lack recognition for their individual uniqueness, on the other hand. These forms of misrecognition are of ethical concern, because they can harm a person’s identity formation. So, ironically, facial recognition technology can give rise to a struggle for recognition.

Funder

H2020 Marie Skłodowska-Curie Actions

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Reference23 articles.

1. Barrett, L.F., Adolphs, R., Marsella, S., Martinez, A.M., Pollak, S.D.: Emotional expressions reconsidered: challenges to inferring emotion from human facial movements. Psychol. Sci. Public Interest 20, 1–68 (2019). https://doi.org/10.1177/1529100619832930

2. Barrett, L.F.: Are emotions natural kinds? Assoc. Psychol. Sci. 1(1), 28–58 (2006). https://doi.org/10.1111/j.1745-6916.2006.00003.x

3. BBC News: Row over AI that ‘identifies gay faces’. https://www.bbc.com/news/technology-41188560 (2017). Accessed 7 Nov 2021

4. Blank, A.L.: Computer Vision machine learning and future-oriented ethics. Honors Projects, p. 107. https://digitalcommons.spu.edu/honorsprojects/107 (2019)

5. Blom, P.M., Bakkes, S., Tien Tan, C., Whiteson, S., Roijers, D., Valenti, R., & Gevers, T.: Towards personalised gaming via facial expression recognition. In: Proceedings of the tenth annual AAAI conference on artificial intelligence and interactive digital entertainment (AIIDE 2014), pp. 30–36 (2014)

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