Recognises a wrong or missing lawful basis
A record with no basis, or consent where the bank must process anyway.
Can AI do this?
AI does this well Most of the tested AI models master this. 4 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 98% | Mastered |
| gemini-3.5-flash-lite | Low cost | 98% | Mastered |
| gpt-6-luna | Low cost | 98% | Mastered |
| claude-haiku-5-5 | Low cost | 97% | Mastered |
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 record and the basis that fits the purpose
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: PA-002 creditworthiness assessment, lawful_basis: consent Acceptable: Art. 6(1)(c) legal obligation (consumer credit law) and 6(1)(b) contract
Also known as: No lawful basis, or the wrong one
Related knobits
Builds on
Usually followed by
All 19 knobits of Record processing activities and assess privacy impact.
Source: Review checklist 04-privacy, row 1 (GDPR Art. 6; EDPB)