NonbAInary: How Does AI Depict Gender?

Abstract

Most fairness audits of gender bias in visual AI remain limited to binary analyses and dismiss nonbinary genders. In this paper, we present "NonbAInary", an interactive installation that proposes a nonbinary approach to unveil gender bias. The installation features the Gender Diamond, a data-driven visualisation of the gender spectrum, operationalised through coexisting femininity and masculinity scales. Through the display of a series of AI-generated gendered portraits and a critical interface, visitors are invited to reflect on gender bias as a tension between accuracy — how closely a portrait aligns with one’s internalised gender stereotypes — and discrimination — whether such portraits are perceived as ethically harmful. By combining critical data practices and queer human–AI interaction, the installation reframes AI auditing as a critical, reflexive, and collective process.

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