[KongchangAI]
ConceptSummary Distortion

Summary Distortion

A phenomenon in which key details are lost or semantics are twisted during the compression of a conversation into a summary because of information trade-offs. It occurs commonly in scenarios where AI customer service hands off to a human agent, and may cause customer speculation to be mistaken for factual statements.

Timeline (last 90 days)

Oct 15

The risk of summary distortion can be mitigated by using attribution markers such as 'customer reports', preserving the original conversation as a verbatim record with message IDs, and performing structured extraction of key entities.

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