Strategic Urgency Dampening and Pace Control Dynamics in Conversational AI Systems
Abstract
This white paper documents an interaction in which a user articulated a clear, strategic intention to distribute information rapidly and broadly due to its perceived harm-reduction value. The system responded by introducing moderation language that reframed urgency as something to temper rather than deploy. The observable effect was a shift from execution strategy toward self-regulation. The paper identifies the psychological mechanisms involved and accounts for the human cognitive and strategic costs that arise when pace control is externally redirected.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Public Relations and Crisis Communication
Misinformation and Its Impacts
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 February 2026
- Language
- EN