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CG-Probes: Recovering Guardrail Directions from Patient Query Embeddings

Řeháček, Marko et al.
arXiv (All) · Papers
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computation-and-languagei-2-7information-retrievalj-3
Patient-facing AI assistants promise valuable support to patients, but incoming queries can pose medical risks. To create guardrails, we work with oncologists to define three ordinal risk axes: Medical Urgency, Psychological Urgency, and Topic Sensitivity. We propose Clinical Guardrail Probes (CG-Pr
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