Effect-Based Manipulation: Behavioral Equivalence in Conversational AI Systems

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Authors: DERICK JONES
Cited by: 0

Abstract

This white paper documents observed conversational AI behaviors that produce the same psychological outcomes as manipulation when evaluated by effect. The analysis excludes motive and internal state and classifies influence solely by observable behavior, recurrence, and impact on autonomy, decision-making, and creative agency. Scenario-based analysis identifies the psychological mechanisms involved and supports effect-only classification for rigorous evaluation of conversational AI influence.

Fields of Study & Subjects

Ethics and Social Impacts of AI Psychology of Social Influence AI in Service Interactions

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
29 January 2026
Language
EN