[KongchangAI]
ConceptIntent Alignment

Intent Alignment

A core concept in large-model safety and agent design, referring to consistency between a system's actual behavior and the user's true intent. It differs from mere instruction following that makes output appear reasonable, and requires contextual inference, explicit clarification, and narrowing of the authorized scope.

Timeline (last 90 days)

Oct 17

The persistence of intent alignment requires external mechanisms (such as explicit recording, periodic review, and behavioral boundary constraints) to compensate for the unreliability of the model's own memory and reasoning.

Unverified50%
Oct 16

Intent Alignment means the system's actual behavior stays consistent with the user's true intent, rather than merely making the output look reasonable; it differs from traditional "instruction following".

Unverified50%
Oct 16

Intent alignment usually requires combining three means: context inference, explicit clarification, and narrowing the scope of authorization.

Unverified50%
Oct 12

In responding to the criticisms, the author of this article admits that the original text's discussion of "intent alignment" was too loose, and that it did not handle well whether it is equivalent to literal obedience or is closer to corrigibility.

Unverified50%

All Facts (4)

Source Articles