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Safe Deployment of a Generative AI Assistant for Traditional-Medicine Education: Defense-in-Depth Architecture, Domain-Calibrated Safety Evaluation, and a Proposed Minimum Safety Stack

2026-07-06

Abstract excerpt

<title>Abstract</title> <p>Deploying generative AI safely in traditional-medicine education requires more than model alignment: it demands layered architecture and a definition of ‘unsafe’ that reflects clinical and pedagogical standards, not only information-security criteria. We describe TLAS-YHCT, a Socratic chatbot for traditional-medicine students built around non-overridable guardrails, retrieval-augmented...

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Literature Corpus work
ec4f89aa-817e-58a6-af80-e8bda97ca11b
DOI
10.21203/rs.3.rs-10136391/v1
Open publication

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Safe Deployment of a Generative AI Assistant for Traditional-Medicine Education: Defense-in-Depth Architecture, Domain-Calibrated Safety Evaluation, and a Proposed Minimum Safety StackDOI 10.21203/rs.3.rs-10136391/v1
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