Journal Article10.1145/3274357
The Misgendering Machines: Trans/HCI Implications of Automatic Gender Recognition
Os Keyes
- 01 Nov 2018
- Vol. 2, pp 88
401
TL;DR: It is shown that AGR consistently operationalises gender in a trans-exclusive way, and consequently carries disproportionate risk for trans people subject to it.
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Abstract: Automatic Gender Recognition (AGR) is a subfield of facial recognition that aims to algorithmically identify the gender of individuals from photographs or videos. In wider society the technology has proposed applications in physical access control, data analytics and advertising. Within academia, it is already used in the field of Human-Computer Interaction (HCI) to analyse social media usage. Given the long-running critiques of HCI for failing to consider and include transgender (trans) perspectives in research, and the potential implications of AGR for trans people if deployed, I sought to understand how AGR and HCI understand the term "gender", and how HCI describes and deploys gender recognition technology. Using a content analysis of papers from both fields, I show that AGR consistently operationalises gender in a trans-exclusive way, and consequently carries disproportionate risk for trans people subject to it. In addition, I use the dearth of discussion of this in HCI papers that apply AGR to discuss how HCI operationalises gender, and the implications that this has for the field's research. I conclude with recommendations for alternatives to AGR, and some ideas for how HCI can work towards a more effective and trans-inclusive treatment of gender.
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Sexing the Body: Gender Politics and the Construction of Sexuality
Anne Fausto-Sterling
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TL;DR: Fausto-Sterling as discussed by the authors argues that even the most fundamental knowledge about sex is shaped by the culture in which scientific knowledge is produced, and argues that individuals born as mixtures of male and female exist as one of five natural human variants and should not be forced to compromise their differences to fit a flawed societal definition of normality.
Algorithms of Oppression: How Search Engines Reinforce Racism
Safiya Umoja Noble
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TL;DR: Noble's Algorithms of Oppression: How Search Engines Reinforce Racism is devastating as mentioned in this paper, which reduces to rubble the notion that technology is neutral and ideology-free.
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Injustice at Every Turn: A Report of the National Transgender Discrimination Survey
Jaime M. Grant,Motter, Lisa A., Jd,Tanis, Justin, DMin +2 more
- 01 Jan 2011
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Sexing the body :gender politics and the construction ofsexuality
Anne Fausto-Sterling
- 01 Jan 2000
TL;DR: Fausto-Sterling as discussed by the authors argues that even the most fundamental knowledge about sex is shaped by the culture in which scientific knowledge is produced, and argues that individuals born as mixtures of male and female exist as one of five natural human variants and should not be forced to compromise their differences to fit a flawed societal definition of normality.
1.6K