GenAI Chatbots and the SRH Dilemma: Privacy vs. Utility

Generative AI chatbots are rapidly changing how individuals seek sexual and reproductive health (SRH) information, especially after the overturning of Roe v. Wade. People assigned female at birth are increasingly turning to these digital assistants to find answers. Yet, while the tech world focuses on perfecting models, it's ignoring a glaring issue: user privacy.

The Surge of Digital Health Queries

In the aftermath of the Roe v. Wade reversal, GenAI chatbots have become a go-to resource for SRH information. This shift is driven by perceived benefits like utility, accessibility, and even the pseudo-human interaction they offer. But there's a darker side. Many users reveal intimate SRH details, often without realizing the potential privacy trade-offs.

Our study engaged 18 U.S. participants from both restrictive and non-restrictive states. They highlighted several risks: data collection, surveillance, profiling, and data commodification. It's clear the GenAI landscape has privacy gaps that need closing.

Privacy Risks: A Price Worth Paying?

Despite acknowledging the risks, many participants continue to use these chatbots, prioritizing utility over safety. But abortion-related queries, there’s a noticeable spike in safety concerns. Users might be playing a dangerous game of weighing perceived benefits against real privacy threats. The question is: are these benefits truly worth the risk?

Few users adopt protective strategies, like minimizing disclosures. It's like stepping into a minefield blindfolded. The industry needs more than just an upgrade. It needs a rethink. Health-specific features and better moderation practices could be a start.

A Call for Change

The integration of health-specific features and stronger moderation isn't just a recommendation. It's a necessity. If AI can hold a wallet, who writes the risk model? The answer is critical as we shape the future of SRH information access. It's high time we demand more than a model on a GPU rental. We need verifiable safeguards that protect user data, particularly when it involves sensitive health information.

The intersection is real. Ninety percent of the projects aren't. Until GenAI chatbots can prove their commitment to privacy, they'll remain tools of convenience with a risky twist.