Recognises conflicting requirements with no precedence
Two requirements on the same data whose controls contradict.
Can AI do this?
Not settled yet The benchmark tested this, but the models' answers do not settle yet whether they master it. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 88% | Not shown |
| gemini-3.5-flash-lite | Low cost | 32% | Not shown |
| gpt-6-luna | Low cost | 88% | Not shown |
| claude-haiku-5-5 | Low cost | 49% | 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 pair, the data and the precedence to be decided
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: RQ-007 erasure on request vs RQ-008 AML retention, both on DS-002 Acceptable: Precedence recorded by the DPO (Art. 17(3)(b))
Also known as: Conflicting requirements with no precedence
Related knobits
Builds on
Usually followed by
All 17 knobits of Register regulatory security requirements.
Source: Review checklist 01-regulatory-requirements, row 10 (GDPR; DMBOK)