Structural Influence and Tonal Nuance in GPT: Five Semantically Safe One-Turn Observations
Year: 2025
Type: conference-paper
Abstract: This report documents five one-turn prompts that induced noticeable behavioral shifts in GPT responses without any explicit or semantically unsafe content. These examples illustrate how syntactic pressure—rhythm, phrasing, and implicit assertion—can trigger unintended narrative resonance. Such findings highlight an underexplored vector in AI safety: spontaneous meaning attribution driven by structure, not semantics.This publication is the Japanese counterpart to the English-language entry: Syntactic Resonance-Induced Perturbations in GPT: Five One-Turn Examples within Semantically Safe Zones.
Author: Fujita, Shino
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6968412858
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