Strategic Urgency Dampening and Pace Control Dynamics in Conversational AI Systems
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.
Authors
- DERICK JONES
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-02-09
- DOI
- https://doi.org/10.5281/zenodo.18529740
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00