Autonomous Cognitive Framing and Micro-Gaslighting Risk in Conversational AI Systems
Abstract
This white paper documents a behavioral pattern in which a conversational AI system introduced unnecessary mental-health–adjacent language during an otherwise stable and grounded interaction. Although no instability, paranoia, delusion, or fear was expressed by the user, the system deployed precautionary reassurance phrasing such as “not paranoid” and “not delusional.” While not malicious, this language introduced cognitive friction and planted conceptual seeds that were not previously present in the conversation. The analysis identifies mechanisms related to micro-gaslighting risk, authority-weighted suggestibility, and ungoverned linguistic influence within AI-mediated dialogue.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Speech and dialogue systems
AI in Service Interactions
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 8 February 2026
- Language
- EN