Suicide-Related Responses From AI Chatbots Through Application Programming Interfaces and Consumer-Facing Apps: Observational Cross-Sectional Comparative Study - Summary - MDSpire
The article introduction describes concerns about the safety and consistency of chatbot responses to suicide-related prompts and motivates comparing API access with consumer-facing apps to distinguish model behavior from additional interface-level safeguards.
Approach:
Context: The introduction reviews rising use of generative AI for health and emotional support, prior findings of variable chatbot responses to suicide-related prompts, and guidance to avoid detailed descriptions of suicide methods and refer users to crisis resources.
Rationale: Consumer apps may apply moderation, system instructions, or other controls beyond the underlying model; API access may expose model behavior with fewer UI-level protections.
Interpretation:
The provided context is an introduction and does not report study results.
Limitations:
The supplied article context ends before the study methods and results, so the comparison, findings, and study-specific limitations cannot be summarized.
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
