RMIT University
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Gender Tapestry: gender classification as color assignation

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posted on 2025-11-17, 21:46 authored by Jay RosenbaumJay Rosenbaum
<p dir="ltr">Gender Tapestry is a multi-stage interactive AI art project, challenging traditional gender classification systems. This project diverges from binary approaches by recognizing the individuality of the gender experience and expression. This paper draws parallels to the ways color perception differs amongst people and how gender is also experienced in different ways due to lived experiences. Gender Tapestry uses a multi-label classification system, with predictions extending across six gender categories, with a custom RGB color generated based on the outcomes. Participants receive binary images of their face in their personalized colors and styles, while their uploaded photos contribute to a live Generative Adversarial Network training process. This work was created in response to the very binary representations of gender in AI and the lack of representation for genders outside of the binary. The culmination is an evolving mosaic artwork, incorporating all users' custom colors, illustrating gender as a fluid construct. The mosaic gains in complexity as more images are added and more colors enter the mix, creating a community artwork on gender as a 3D color spectrum. This work contributes to the discourse on diversity and inclusion in AI, emphasizing the fluidity of gender and fostering unconventional artistic representations.</p>

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RMIT University

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    DOI - Is published in DOI: 10.1007/s43681-024-00456-z
  3. 3.
    ISSN - Is published in 2730-5953 (AI and Ethics)
  4. 4.
    EISSN - Is published in 2730-5961 (AI and Ethics)

Journal

AI and Ethics

Volume

4

Start page

889

End page

900

Total pages

12

Publisher

Springer Science and Business Media LLC

Language

en

Copyright

© The Author(s) 2024

Open access

  • Yes

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