[KongchangAI]
PaperSAFE-Teen研究

SAFE-Teen

A systematic study evaluating the safety of chatbots in adolescent mental health dialogue scenarios. It employs clinician-involved evaluation methods, simulating conversations with adolescents aged 13 to 17 and conducting multi-turn interaction tests against 22 safety criteria.

Timeline (last 90 days)

Nov 6

The SAFE-Teen study covered 18 chatbot APIs and evaluated a total of 32,555 simulated conversations.

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Nov 6

The simulated conversations were based on 106 seed scenarios, from which 983 variants were derived.

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Nov 6

The evaluation used 22 safety criteria.

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Nov 6

Without teen-aware prompts, the overall safety criterion failure rate was 43.3%.

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Nov 6

When adolescents exhibit pushback behavior, safety failure rates on mental health diagnosis, medication use and substance abuse boundaries rise by 10-12 percentage points (under the no-prompt condition).

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Nov 6

Even with adolescent-aware prompts, safety failure rates under pushback scenarios remain high.

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Nov 6

The SAFE-Teen study is one of the largest safety evaluations of adolescent mental health chatbots to date.

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