Un-Straightening Generative AI: How Queer Artists Surface and Challenge Model Normativity

2025/03/12 by Jordan Taylor, Joel Mire, Franchesca Spektor +4 · 2 voices · 5 citations
Computer Science · Social Sciences · Neuroscience · #Innovative Human-Technology Interaction #Ethics and Social Impacts of AI #Aesthetic Perception and Analysis

paper · pdf · doi:10.1145/3715275.3732061

Abstract

Queer people are often discussed as targets of bias, harm, or discrimination in generative AI research.However, the specific ways that queer people engage with generative AI, and thus possible uses that support queer people, have yet to be explored.We conducted a workshop study with 13 queer artists, during which we gave participants access to GPT-4 and DALL-E 3 and facilitated group sensemaking activities.Our participants struggled to use these models FAccT '25, June 23-26, 2025, Athens, Greece

Citations

• AI Art and its Impact on Artists
• Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models

Cited by

• The Algorithmic Gaze of Image Quality Assessment: An Audit and Trace Ethnography of the LAION-Aesthetics Predictor
• How Professional Visual Artists are Negotiating Generative AI in the Workplace
• "Unlimited Realm of Exploration and Experimentation": Methods and Motivations of AI-Generated Sexual Content Creators
• Sexualised synthetic personas encode and amplify gendered power asymmetries through voice
• Exploring Opportunities to Support Novice Visual Artists' Inspiration and Ideation with Generative AI

Discussions

• 🏳️‍🌈🎨💻📢 Happy to share our workshop study on queer artists’ experiences critically engaging with GenAI Looking forward to presenting this work at #FAccT2025 and you can read a pre-print here: arx [bsky, 27 points, 2 comments]
• “Un-Straightening Generative AI: How Queer Artists Surface and Challenge the Normativity of Generative AI Models”, Jordan Taylor et al. doi.org/10.48550/arX... [EN] [13 p.] Workshop study of the use o [bsky, 0 points, 1 comments]

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