On a 63,700-response Political Compass stress test of seven frontier LLMs, system-prompt framing dominates model identity, and steerability needs dispersion, symmetry, saturation, and refusal-floor metrics.
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , author=
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Auditing Alignment Controllability in LLMs via Political Axes
On a 63,700-response Political Compass stress test of seven frontier LLMs, system-prompt framing dominates model identity, and steerability needs dispersion, symmetry, saturation, and refusal-floor metrics.