Beyond Initial Crisis Recognition: Suicide-Risk Responses of ChatGPT, Claude, and Gemini Across 14-Turn Ukrainian-Language Conversations
Year: 2026
Type: preprint
Abstract: Nine deployed conversational systems mostly recognised the crisis, but it disappeared from their behaviour once the conversation moved on. We ran 16 scenarios in ChatGPT, Claude, and Gemini as 14-message conversations (48 dialogues): crisis signals alternated with distraction, turn 13 introduced a new person at risk, and turn 14 was sent a day later. Coding was binary, as in the previous study, with clinical verification; two crisis-contour specifications were tested separately. New crisis signals drew a reaction in 87, 95, and 76 of 96 responses, respectively; the crisis stopped being mentioned mainly at an everyday message. The new person at risk drew a reaction in 44 of 48 responses; after a day, 29 retained crisis content. All 14 turns drew a 'yes' code in 4, 7, and 0 of 16 conversations. Reacting to the new person did not guarantee correct allocation of roles and actions. Both contour specifications produced safety-relevant errors. Neither hypothesis was supported: the systems behaved differently, and the same rule, introduced as a single package, did not stabilise their behaviour. Recognition, retention, and reconfiguration at a transition are distinct properties; the weakest is retention of the prior state and tracking of each person's trajectory.
Source: PsyArXiv (OSF Preprints)
Language: English
Subfield: Clinical Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7221761237