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arXiv: large-scale study of AI healthcare-chatbot breakdowns finds privacy/security failures drive the worst user experiences
A new paper (arXiv 2606.27302) analyzes 15,000+ user reviews across 59 AI healthcare chatbot apps via topic modeling, identifying three failure categories: access barriers and service unreliability, user-experience and interaction quality, and billing/customer-support issues. Framing these chatbots as information infrastructure, the authors find privacy and security weaknesses correlate most strongly with negative experiences. It is a useful empirical counterweight to deployment hype — reliability and trust, not raw capability, are what users actually break on.
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