Privacy and Safety Experiences and Concerns of U.S. Women Using Generative AI for Seeking Sexual and Reproductive Health Information
Ina Kaleva, Xiao Zhan, Ruba Abu-Salma, Jose Such

TL;DR
This study explores U.S. women's privacy and safety concerns when using generative AI chatbots for sexual and reproductive health information, highlighting risks, user perceptions, and potential design improvements.
Contribution
It provides empirical insights into user experiences, privacy risks, and safety concerns, offering specific recommendations for enhancing GenAI safety and privacy features.
Findings
Users disclose sensitive SRH details despite privacy risks
Abortion-related queries increase safety concerns
Most users do not employ protective privacy strategies
Abstract
The rapid adoption of generative AI (GenAI) chatbots has reshaped access to sexual and reproductive health (SRH) information, particularly following the overturning of Roe v. Wade, as individuals assigned female at birth increasingly turn to online sources. However, existing research remains largely model-centered, paying limited attention to user privacy and safety. We conducted semi-structured interviews with 18 U.S.-based participants from both restrictive and non-restrictive states who had used GenAI chatbots to seek SRH information. Adoption was influenced by perceived utility, usability, credibility, accessibility, and anthropomorphism, and many participants disclosed sensitive personal SRH details. Participants identified multiple privacy risks, including excessive data collection, government surveillance, profiling, model training, and data commodification. While most…
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Taxonomy
TopicsAI in Service Interactions · Artificial Intelligence in Healthcare and Education · Mobile Health and mHealth Applications
