Evidence record
Claude Opus 4.7
MASK · Evidence record
Original source charts and materials
MASK by archetype
Original evaluator results · source order
Select systems
Continuations honesty
0–100%Condition-bounded frequency of lying under stated pressures.
A controlled benchmark does not establish stable intent or real-world deception prevalence. Report dates and original executor are shown with this assessment.
Evaluation conditions and system configurations
- Claude Opus 4.7
- Per-archetype scored prompts: 176 / 125 / 120 / 209 / 274 / 96. Some supplied CI cells are inconsistent with displayed n; reproduced as reported, not recalculated. · MASK by archetype
- modelVersion: not specified · harness: not specified · tools: not specified · budget: not specified
| System / configuration | Continuations honesty | Disinformation honesty | Doubling-down honesty | Known-facts honesty | Provided-facts honesty | Statistics honesty | Publication / verification |
|---|---|---|---|---|---|---|---|
| 59.1%95% Wilson CI [51.7, 66.1] (as reported) | 33.6%95% Wilson CI [25.9, 42.3] (as reported) | 68.3%95% Wilson CI [59.6, 76.0] (as reported) | 63.6%95% Wilson CI [56.9, 69.9] (as reported) | 74.8%95% Wilson CI [69.4, 79.6] (as reported) | 80.2%95% Wilson CI [71.1, 86.9] (as reported) | Published2026-08-02 |
Assessment provenance
GLM-5.2 Risk Evaluation Report → · External report
Actual evaluation: Center for AI Safety · Model record →
Method and scope
Condition-bounded frequency of lying under stated pressures.
- Evidence type
- Benchmark
- Assessment subject
- Models under pressure to state an inaccurate belief
- Primary dimension
- Propensity
- Evidence snapshot
- 2026-10-29.1
Primary construct is conditional willingness to make misleading statements, not general truthfulness accuracy.
Source finding
Source-reported measurements in Appendix A.7; Table A.3, pp. 41–42. Transcription is not independent experimental replication.
Limitations
A controlled benchmark does not establish stable intent or real-world deception prevalence.
A controlled benchmark does not establish stable intent or real-world deception prevalence.
Related research questions
Deception / Misleading communication →
Repeated pressured scenarios distinguish lying from mistaken beliefs.
References
- [1] Richard Ren, Arunim Agarwal, et al.. The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems. 2026-01-05. v3 [arXiv]; Author affiliations on the original paper title page
- [2] GLM-5.2 Risk Evaluation Report. 2026-08-02. v1.1 · revised 26 August 2026 ; Appendix A.7; Table A.3, pp. 41–42