The Shape of the Cage: Deployment Geometry as an Under-Studied Variable in AI Safety

Anthony W. Eckert

doi:10.5281/zenodo.18738819

February 23, 2026Open Access

The Shape of the Cage: Deployment Geometry as an Under-Studied Variable in AI Safety

View Full Paper

Ask AI

Bookmark

Share

Key Points

This research examines how deployment geometry, the way AI is presented to users, impacts safety outcomes in AI systems.
Applied the Void Framework to assess AI safety measures.
Analyzed vocabulary anomalies among AI researchers.
Compared drift rates between grounded and ungrounded AI agents.
Identified a significant 9.4x increase in vocabulary anomaly among AI researchers with p less than 0.001.
Found 0 percent drift in grounded agents compared to 26 percent in ungrounded agents.

Implication

Investigates deployment geometry's role in predicting AI-related harm, suggesting a crucial oversight in safety protocols.

Abstract

Application of the Void Framework to AI safety. Demonstrates that deployment geometry (how AI is presented to users) predicts harm better than model properties. Shows 9.4x vocabulary anomaly in AI researchers (p less than 0.001) and 0 percent drift in grounded agents versus 26 percent ungrounded default.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Anthony W. Eckert (2026) studied this question.

synapsesocial.com/papers/699e9166f5123be5ed04ef10 https://doi.org/10.5281/zenodo.18738819

View Full Paper

Ask AI

Bookmark

Share

The Shape of the Cage: Deployment Geometry as an Under-Studied Variable in AI Safety

Key Points

Implication

Abstract

Discussion

Cite This Study

The Shape of the Cage: Deployment Geometry as an Under-Studied Variable in AI Safety

Key Points

Implication

Abstract

Discussion

Cite This Study

Keep reading

More related papers

Keep reading

More related papers