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Queer In AI: A Case Study in Community-Led Participatory AI.

Updated: Sep 27


Organizers Of Queerinai, Ovalle A, Subramonian A, Singh A, Voelcker C, Sutherland DJ, et al. Queer In AI: A Case Study in Community-Led Participatory AI. FAccT '23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency. 2023; Pages 1882-1895. https://doi.org/10.1145/3593013.3594134


Summary: This paper explores Queer in AI, a global grassroots organization dedicated to ensuring inclusivity and equity in AI for the queer community. Queer in AI uses participatory and intersectional design to address AI-related harms that disproportionately affect queer individuals, such as privacy violations, deadnaming, and the hypervisibility of queer content. The case study highlights successes and challenges in operationalizing these principles, emphasizing decentralized, community-led approaches. It offers insights into how grassroots activism can foster inclusive AI development, critique flawed participatory practices, and influence institutions beyond individual research projects.

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