Recognises a regulatory principle dropped without reason
applies: false and no reason a supervisor would accept.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 60% | Not shown |
| gemini-3.5-flash-lite | Low cost | 5% | Not mastered |
| gpt-6-luna | Low cost | 55% | Not shown |
| claude-haiku-5-5 | Low cost | 60% | Not shown |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: The principle and the reason asked for
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: RP-006 Adaptability (P6), applies: false, reason: null Acceptable: applies: true, with a control for ad-hoc and stress reporting requests; or a reason the supervisor has agreed
Also known as: Principle dropped without reason
Related knobits
Builds on
All 21 knobits of Map BCBS 239 to controls.
Source: Review checklist 04-regulatory-mapping, row 2 (BCBS P6; ECB)