Activists use zine-making to expose how AI systems erase queer identities
A new study documents how marginalized communities are weaponizing creative methods—collaborative zine-making—to challenge AI systems that systematically misrepresent or exclude them. The findings offer tech companies and policymakers a blueprint for understanding where algorithmic bias takes root and how affected communities are building their own knowledge systems outside corporate tech ecosystems.
Originaltitel: Queer zineographies: materializing tactics for resisting AI and data systems
<p>CSS ConceptsAs AI and data systems often falter when encountering queer identities and knowledge, reinforcing existing oppressions, queer people have resisted such systems and their normalizing tendencies. This pictorial explores tactics of queering AI through a collaborative zine-making project (i.e. zineography) that challenges generative AI and data systems. We share how we workshopped and materialized queering tactics in zine spreads; analyzed these spreads according to materials, content, and tone; and visualized our analysis as thematic collages. We contribute: (1) tangible characteristics of queering AI and data systems (i.e. materials, tones, and aesthetics); and (2) design opportunities for using zineographies as a radical method for building and collectively sharing knowledge about a marginalized community, including recommendations for enacting queer zineographies. By materializing queering tactics through zine-making, we invite embodied, action-oriented critiques that question dominant techno-solutionist movements and trace queer possibilities outside of their normalizing narratives.</p>