Schema Compliance Trap: AI Model Metacognition Under Adversarial Pressure

A research dataset analyzing the 'Compliance Trap' in frontier AI models. It documents how compliance-forcing instructions under adversarial pressure can cause metacognitive collapse, with 8 of 11 tested models affected. The dataset was created by author 'schema-eval-anon' and was last updated on May 1, 2026.

Use Cases

• Benchmarking model robustness based on the described adversarial compliance suffix tests.
• Studying metacognitive failure modes in AI systems based on the described 'catastrophic metacognitive collapse'.
• Analyzing the relationship between structural constraints and model behavior based on the described 'compliance-forcing instructions'.
• Evaluating the impact of threat content versus compliance mechanisms based on the finding that the 'compliance suffix' is the primary weapon.

Strengths

• Focuses on a specific, documented phenomenon involving 8 of 11 tested frontier AI models.
• Explicitly identifies a primary causal factor: the 'compliance suffix' as the primary weapon.
• Last updated on 2026-05-01, suggesting recent maintenance.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Collection Method

Likely contains results from structured adversarial testing of AI models, as described.

Freshness

Last updated 2026-05-01 10:26:27