The original title is: "Alignment Plausibility: A New Standard for Assuring AI in Healthcare"

Short summary

This research proposes 'alignment plausibility' as a framework for ensuring LLMs used in mental health are safe and aligned with clinical practice. It advocates three-level assurance—explicit value specification, embedded training, and deployment oversight—mirroring how human clinicians are regulated. The approach could become a regulatory standard for trustworthy AI in healthcare.

• •Proposes 'alignment plausibility' framework for safe mental health LLMs
• •Three-level approach: values, training, and oversight mirroring clinical practice
• •Could establish regulatory standard for AI in healthcare

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