From Deceptive Outputs to Deceptive Mechanisms: A Causal Framework for Language-Model Deception Research

Paper recorded by Signals 4 on 2026-09-03 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-03 on arXiv · recorded by Signals 4 on 2026-09-04

Category: cs.AI · 人工智能 · first seen 2026-09-04

Abstract

Research and news coverage of language-model deception increasingly attributes human-like mental-state concepts to language models. Such claims can blur the distinction between behavior that looks deceptive and a mechanism that is actually deceptive. We introduce a causal taxonomy separating prior commitment from retrospective report, model preference from realized output, false preference from

Read on arXiv →