[KongchangAI]
ConceptInstruction Hierarchy / 指令层级框架

Instruction Hierarchy

A safety alignment framework proposed by OpenAI and other institutions in which instructions from different sources carry different trust levels; when instructions conflict, the model must prioritize higher-priority instructions in order to prevent prompt injection attacks.

Timeline (last 90 days)

Oct 24

The document reveals that model behavior is governed jointly by multi-level instructions, with system-level instructions, developer instructions, user instructions, and low-trust material from documents, web pages and tool results in descending order of priority.

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Oct 24

When instructions conflict, higher-priority provisions win; user preferences for format, tone and content can significantly influence responses but cannot override higher-level constraints.

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Oct 13

Defenses against prompt injection (classifiers, instruction hierarchies, source labels) are without exception probabilistic; the model may be bypassed by novel phrasing, and classifiers may misjudge legitimate input.

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Oct 11

The fundamental logic of defending against indirect injection is the separation of data and instructions: retrieved content should be confined to a read-only data zone, and hierarchical isolation can be established by placing external content in the tool role rather than the user role.

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