LLM responses mirror venting with higher regulation and escalation; therapist personas lower escalation while preserving regulation, and lay raters miss escalation.
Large language models as mental health resources: Patterns of use in the United States
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Mental health AI safety evaluations that discard temporal sequence and accumulation produce invalid conclusions; the paper formalizes this as Temporal Safety Non-Identifiability and proposes SCOPE-MH as a reporting standard that preserves evidence.
citing papers explorer
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When Support Escalates Distress: Regulation and Escalation in LLM Responses to Venting and Advice-Seeking
LLM responses mirror venting with higher regulation and escalation; therapist personas lower escalation while preserving regulation, and lay raters miss escalation.
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Mental Health AI Safety Claims Must Preserve Temporal Evidence
Mental health AI safety evaluations that discard temporal sequence and accumulation produce invalid conclusions; the paper formalizes this as Temporal Safety Non-Identifiability and proposes SCOPE-MH as a reporting standard that preserves evidence.