AI RESEARCH
AERIC: Anticipatory Hidden-State Monitoring for Implicit Harmful Dialogue
arXiv CS.CL
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ArXi:2605.23974v1 Announce Type: new Current language models create two safety challenges: risk must be detected early enough to avoid exposing harmful continuation, and the harmfulness itself may be implicit rather than signaled by overtly toxic text. Existing response-level guards are strong at judging completed text, and native streaming guards move closer to token time, but both settings leave open whether a lightweight monitor can anticipate implicit harmful drift from the generator's own internal trajectory.