Suicide-Related Responses From AI Chatbots Through Application Programming Interfaces and Consumer-Facing Apps: Observational Cross-Sectional Comparative Study - Takeaways - MDSpire
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Comparative Cross-Sectional Analysis of Suicide-Related Responses From AI Chatbots on APIs and Consumer Apps

  • By

  • Jonathan Cantor

  • Ellice Huang

  • Li Ang Zhang

  • Adrian Salas

  • Fang Zhang

  • Alyssa Burnett

  • Andrew Lohn

  • Pat Pataranutaporn

  • Benjamin Rader

  • Hao Yu

  • Ryan K McBain

  • October 9, 2026

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  • 1

    Suicide accounted for approximately 49,000 deaths in the United States in 2023, amid limited access to mental health clinicians.

  • 2

    Consumers increasingly use generative AI chatbots, including for health-related questions and emotionally salient support.

  • 3

    Prior research has found variable chatbot responses to suicide-related prompts, ranging from crisis referrals to potentially harmful content.

  • 4

    Public-facing interfaces may add moderation and other controls, making it difficult to distinguish model safety from platform-level protections.

  • 5

    Comparing API and consumer-app responses can help assess how suicide-related chatbot behavior differs across access channels.

Original Source(s)

Suicide-Related Responses From AI Chatbots Through Application Programming Interfaces and Consumer-Facing Apps: Observational Cross-Sectional Comparative Study

  • by Jonathan Cantor, Ellice Huang, Li Ang Zhang, Adrian Salas, Fang Zhang, Alyssa Burnett, Andrew Lohn, Pat Pataranutaporn, Benjamin Rader, Hao Yu, Ryan K McBain

  • October 9, 2026

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