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The AI Gaze We Choose: Speculative Metaphors by Queer Youth

Zanardi, Irene, Dedò, Shana, Landoni, Monica·2026·Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems

Abstract

Far from merely illustrating reality, Generative Artificial Intelligence applications can impose a gaze that structures how identity and power are perceived. This gaze exacerbates societal biases and limits representation. In this work, we explore how queer young adults conceptualize a normative gaze in GenAI and how they, conversely, imagine a queer gaze. Using a craft‑based speculative approach, we explored the metaphors participants created and presented their interpretations of the GenAI gaze’s embodiment, perception, and behavior. Our contribution is twofold: we show the potential of this approach to support the inclusion of a wider range of perspectives in early Human–AI design, and we offer the metaphors themselves and their contrast as tools that help surface considerations for designing more inclusive and just GenAI systems.

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Crossref · 10.1145/3772363.3799268

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  • In Zanardi et al. (2026), participants characterized the normative AI gaze as singular and reductive and set against it a queer gaze figured as a rainbow iris holding multiple realities as simultaneously valid.

    “Participants characterized the normative AI gaze as singular and reductive and set against it a queer gaze figured as a rainbow iris holding multiple realities as simultaneously valid.”
  • Zanardi et al. (2026) demonstrates that speculative, materially grounded workshops can surface design considerations at a stage where users are rarely consulted, and that queer young people articulate critiques of generative systems that technical fairness audits do not capture.

    “The study contributes a method rather than an outcome measure: it demonstrates that speculative, materially grounded workshops can surface design considerations at a stage of development where users are rarely consulted, and that queer young people articulate critiques of generative systems that technical fairness audits do not capture.”
  • Zanardi et al. (2026) applied a craft-based speculative method with queer young adults, asking participants to build physical metaphors for how generative AI perceives identity and how a queer gaze might perceive differently.

    “Zanardi et al. (2026) applied a craft-based speculative method with queer young adults, asking participants to build physical metaphors, using clay, fabric, and found materials, for how generative AI perceives identity, and then for how a queer gaze might perceive differently.”

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Research works printed but not linked: 27

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  21. Morgan Klaus Scheuerman Katy Weathington Adrian Petterson Dylan Thomas Doyle Dipto Das Michael Ann DeVito and Jed R. Brubaker. 2025. Transphobia Is in the Eye of the Prompter: Trans-Centered Perspectives on Large Language Models. ACM Trans. Comput.-Hum. Interact. 32 5 Article 52 (Oct. 2025) 42 pages. 10.1145/3743676 · DOI
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Authors
Zanardi, I., Dedò, S., & Landoni, M.
Venue
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2026-04-13
Pages
1-6
Cited by
1
References
0
Funders
SNSF (IZCOZ0_205424)

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