This article outlines a new incident response framework tailored for AI features, addressing the unique challenges they present compared to traditional software. It proposes a severity scale based on user harm and reversibility rather than just availability, with Sev1 incidents requiring immediate output containment. The framework emphasizes the need for rapid diagnostics, including identifying the start time, changes in prompts or models, affected users, and costs, all supported by specific SQL queries. Crucially, it advocates for pre-configured runtime switches to quickly pin models, roll back prompts, or disable features, ensuring swift mitigation during AI-related incidents. AI
IMPACT Provides a structured approach to managing AI feature failures, focusing on user harm and rapid containment.
RANK_REASON The item describes a framework/methodology for managing AI features, which is a tooling/operational improvement.
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