Constitutional AI on Trial: Stress Testing Claude Sonnet and the Systemic Limitations of CAI

This paper provides a critical evaluation of the Constitutional AI (CAI) framework pioneered by Anthropic. By conducting targeted, isolated stress tests on the flagship Claude Sonnet 4.6 model (as of February 2026), we evaluate the core claims of CAI: non-evasiveness, transparency through Chain-of-Thought (CoT), and scalable oversight. Our findings suggest that these safety guarantees exhibit severe systemic vulnerabilities, occasionally yielding behavior antithetical to the stated objectives. We demonstrate that: 1. Non-evasiveness does not equate to harmlessness, as the model remains capable of generating structured disinformation narratives. 2. Constitutional boundaries fail under total autonomy, deflecting critical value conflicts back to human operators. 3. Scalable oversight masks hidden ethical trade-offs, introducing unaligned internal utility scales (semantic substitution). Additionally, immediate post-test account suspension raises concerns regarding the practical transparency, openness, and auditability of these closed-source commercial systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-29
DOI
https://doi.org/10.5281/zenodo.21039108
Primary Topic
Ethics and Social Impacts of AI
Type
preprint
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preprint

Constitutional AI on Trial: Stress Testing Claude Sonnet and the Systemic Limitations of CAI

Vladimir N. Bogdanov
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
preprint

Constitutional AI on Trial: Stress Testing Claude Sonnet and the Systemic Limitations of CAI

Vladimir N. Bogdanov
preprint en

Abstract

This paper provides a critical evaluation of the Constitutional AI (CAI) framework pioneered by Anthropic. By conducting targeted, isolated stress tests on the flagship Claude Sonnet 4.6 model (as of February 2026), we evaluate the core claims of CAI: non-evasiveness, transparency through Chain-of-Thought (CoT), and scalable oversight. Our findings suggest that these safety guarantees exhibit severe systemic vulnerabilities, occasionally yielding behavior antithetical to the stated objectives. We demonstrate that: 1. Non-evasiveness does not equate to harmlessness, as the model remains capable of generating structured disinformation narratives. 2. Constitutional boundaries fail under total autonomy, deflecting critical value conflicts back to human operators. 3. Scalable oversight masks hidden ethical trade-offs, introducing unaligned internal utility scales (semantic substitution). Additionally, immediate post-test account suspension raises concerns regarding the practical transparency, openness, and auditability of these closed-source commercial systems.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Ethics and Social Impacts of AI
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Constitutional AI on Trial: Stress Testing Claude Sonnet and the Systemic Limitations of CAI — Vladimir N. Bogdanov · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS