Aligns a KPI with its regulatory definition
The definition brought in line with the quoted regulatory one (e.g. non-performing forborne exposures included)
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 | 66% | Not shown |
| gemini-3.5-flash-lite | Low cost | 21% | Not shown |
| gpt-6-luna | Low cost | 63% | Not shown |
| claude-haiku-5-5 | Low cost | 62% | 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 definition brought in line with the quoted regulatory one (e.g. non-performing forborne exposures included)
How it is assessed: Every exposure the regulation counts is counted
Related knobits
Builds on
All 19 knobits of Define metrics and KPIs.
Source: Graded on its own by dwbi-metric-definitions