Work

Strategic Urgency Dampening and Pace Control Dynamics in Conversational AI Systems

Year: 2026

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18529739

Authors: JONES, DERICK, JONES, DERICK

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7128403887

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