arXiv:2611.14871 · v1
Women's Genetic Health as Family Cooperative Work: Empirical Findings and a Case for Participatory AI
摘要
Genetics plays a significant role in women's health, with family members often experiencing shared symptoms or hereditary risks across generations. Yet health technologies, including emerging health AI tools, have supported women's health as an individual health practice. Drawing on a survey of 249 U.S. adult women, we characterize women's genetic health information work as cooperative work distributed across intergenerational family networks, identify who does this work and why, and document the barriers that fragment it. We find that generative AI use is a strong predictor of genetic health perception, but current tools focus on individuals rather than supporting collective coordination. We argue that designing AI for this domain requires participatory approaches that engage diverse women, healthcare professionals, and legal and community stakeholders, and we bring open design questions to the workshop.
作者备注：Presented at the CSCW 2026 Workshop on Women's Health as Cooperative Work: Participatory AI Across Care, Community, and Policy (arXiv:2611.03776)