research-article

The Misgendering Machines: Trans/HCI Implications of Automatic Gender Recognition

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Proceedings of the ACM on Human-Computer Interaction, Volume 2, Issue CSCW

Article No.: 88, Pages 1 - 22

https://doi.org/10.1145/3274357

Published: 01 November 2018 Publication History

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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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 2, Issue CSCW

November 2018

4104 pages

EISSN:2573-0142

DOI:10.1145/3290265

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Karrie Karahalios
University of Illinois & Adobe
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Snap Inc.
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Vienna University of Technology

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Gillespie T(2024)Generative AI and the politics of visibilityBig Data & Society10.1177/2053951724125213111:2Online publication date: 13-May-2024
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Pallett HPrice CChilvers JBurall S(2024)Just public algorithms: Mapping public engagement with the use of algorithms in UK public servicesBig Data & Society10.1177/2053951724123586711:1Online publication date: 18-Mar-2024
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Darling-Wolf HPatitsas E(2024)"Not my Priority:" Ethics and the Boundaries of Computer Science Identities in Undergraduate CS EducationProceedings of the ACM on Human-Computer Interaction10.1145/36410138:CSCW1(1-28)Online publication date: 26-Apr-2024
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Marsh ALerner A(2024)Privacy Norms of Transformative Fandom: A Case Study of an Activity-Defined CommunityProceedings of the ACM on Human-Computer Interaction10.1145/36373888:CSCW1(1-29)Online publication date: 26-Apr-2024
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Shelby RSrinivasan RBurgdorf KLena JRostamzadeh N(2024)Creative ML Assemblages: The Interactive Politics of People, Processes, and ProductsProceedings of the ACM on Human-Computer Interaction10.1145/36373158:CSCW1(1-30)Online publication date: 26-Apr-2024
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Jiang LBelitz CBosch N(2024)Synthetic Dataset Generation for Fairer Unfairness ResearchProceedings of the 14th Learning Analytics and Knowledge Conference10.1145/3636555.3636868(200-209)Online publication date: 18-Mar-2024
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Prinos KPatwari NPower C(2024)Speaking of accent: A content analysis of accent misconceptions in ASR researchProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658969(1245-1254)Online publication date: 3-Jun-2024
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Birhane ADehdashtian SPrabhu VBoddeti V(2024)The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal ModelsProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658968(1229-1244)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3630106.3658968
Mayworm SAlbert KHaimson O(2024)Misgendered During Moderation: How Transgender Bodies Make Visible Cisnormative Content Moderation Policies and Enforcement in a Meta Oversight Board CaseProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658907(301-312)Online publication date: 3-Jun-2024
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