Exploring Gender Nonbinary Experiences Through the Lens of the 7th HCI Grand Challenge: Reactions to the Categorization of Nonbinary Users in AI-Generated Online Advertising Profiles

Abstract

Gender-based societal bias can lead to digital inequality and digital exclusion. An under-addressed marginalized group is the non-binary community, comprised of those who do not fully identify their gender as male or female. The assumption of a gender binary can become ingrained in the systems and algorithms undergirding technology. AI provides companies the ability to leverage tracked online behaviors to create targeted advertising profiles based on systematic, algorithmic-assigned personal characteristics. Given the potential for digital exclusion, digital inequality, and data violence, these online advertising profiles may be inaccurate and even harmful to non-binary people. This poster presents preliminary findings from a survey of nonbinary participants on perspectives on the representation of their identities in AI-generated online advertising profiles.