The Misgendering Machines

TLDR

Automatic Gender Recognition (AGR) is a facial‑recognition subfield that identifies gender from images and is applied in access control, analytics, advertising, and HCI social‑media studies. The study seeks to examine how AGR and HCI conceptualise gender and to assess how HCI deploys gender‑recognition technology, especially given the lack of discussion on transgender perspectives. The author conducts a content analysis of AGR and HCI papers, focusing on the absence of transgender discussion to reveal how gender is operationalised and its implications. The analysis shows that AGR operationalises gender in a trans‑exclusive manner, posing disproportionate risks to trans people, and the author recommends alternatives and strategies for HCI to adopt a more inclusive approach.

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.