Alignment Fallback Path

機械支援の翻訳下書き (Japanese) for "Alignment Fallback Path": Alignment Fallback Path is a ai resilience pattern that keeps an AI feature useful when a provider or tool is unavailable for model behavior shaping and policy fit. It uses degraded states, deterministic responses, and operator notices so teams can avoid fake AI success while keeping evidence, reliability, and public-safe operational boundaries clear.

“例文の下書き: The AI platform team used Alignment Fallback Path when the assistant needed a safer answer style, so the team could avoid fake AI success before the agent workflow reached production.”