The Misgendering Machines: Trans/HCI Implications of Automatic Gender Recognition
作者： Os Keyes , None
DOI: 10.1145/3274357
关键词: Field (computer science) 、 Subject (documents) 、 Content analysis 、 Transgender 、 Physical access 、 Social media 、 Trans people 、 Control (linguistics) 、 Psychology 、 Data science
摘要: Automatic Gender Recognition (AGR) is a subfield of facial recognition that aims to algorithmically identify the gender individuals from photographs or videos. In wider society technology has proposed applications in physical access control, data analytics and advertising. Within academia, it already used field Human-Computer Interaction (HCI) analyse social media usage. Given long-running critiques HCI for failing consider include transgender (trans) perspectives research, potential implications AGR trans people if deployed, I sought understand how term "gender", describes deploys technology. Using content analysis papers both fields, show consistently operationalises trans-exclusive way, consequently carries disproportionate risk subject it. addition, use dearth discussion this apply discuss gender, field's research. conclude with recommendations alternatives AGR, some ideas can work towards more effective trans-inclusive treatment gender.
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