Can I Trust This Chatbot? Assessing User Privacy in AI-Healthcare Chatbot Applications
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Abstract (arXiv)
As Conversational Artificial Intelligence (AI) becomes more integrated into everyday life, AI-powered chatbot mobile applications are increasingly adopted across industries, particularly in the healthcare domain. These chatbots offer accessible and 24/7 support, yet their collection and processing of sensitive health data present critical privacy concerns. While prior research has examined chatbot security, privacy issues specific to AI healthcare chatbots have received limited attention. Our study evaluates the privacy practices of 12 widely downloaded AI healthcare chatbot apps available on the App Store and Google Play in the United States. We conducted a three-step assessment analyzing: (1) privacy settings during sign-up, (2) in-app privacy controls, and (3) the content of privacy policies. The analysis identified significant gaps in user data protection. Our findings reveal that half of the examined apps did not present a privacy policy during sign up, and only two provided an option to disable data sharing at that stage. The majority of apps' privacy policies failed to address data protection measures. Moreover, users had minimal control over their personal data. The study provides key insights for information science researchers, developers, and policymakers to improve privacy protections in AI healthcare chatbot apps.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 4 of its 45 references that are in the map. First posted on arXiv 18 Sep 2025.
Builds on
4 of 45 references.
References · 4
- 2023"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agentscited by 60
- 2021Privacy Concerns in Chatbot Interactions: When to Trust and When to Worrycited by 4
- 2022An Empirical Assessment of Security and Privacy Risks of Web based-Chatbotscited by 4
- 2024Privacy-Preserving Behaviour of Chatbot Users: Steering Through Trust Dynamicscited by 1
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Citing papers per year: 2026: 2.
2 papers.
- 2026AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdownscited by 0
- 2026From Single Chatbots to Governed Agent Ecosystems: An Agentic AI Pattern Catalogue and Orchestration Framework for Mission-Critical Hospital Information Management Systemscited by 0
- 2026From Single Chatbots to Governed Agent Ecosystems: An Agentic AI Pattern Catalogue and Orchestration Framework for Mission-Critical Hospital Information Management Systems7 Aug 2026
- 2026AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns25 Jun 2026