Proprietary framework · definition

The AI id framework: six properties of a defensible AI.

Four reference frameworks each describe part of what responsible AI must be. The AI id framework converges them into a single measurable profile.

What do the six properties measure?

Each property is scored from 0 to 100 on evidence. Together, they cover what a board, a regulator, or a client can ask for, without overlap and without gaps.

PropertyWeightWhat it measures
Accountable20 %Traceability and accountability for every AI-assisted decision.
Governed19 %AI policy, roles, and lifecycle, defined and upheld.
Secure17 %Controls and defences specific to AI risk.
Sovereign15 %Control over data residency, portability, and dependencies.
Supervised15 %Human oversight calibrated to risk.
Reproducible14 %Configurations and outputs documented and replayable.

Current weighting, derived from the emphasis matrix of the four reference frameworks. It recalculates if the emphasis of any framework changes.

Where does the weighting come from?

The weights do not come from preference. Each reference framework rates each property according to its emphasis (high, medium, low), and the weights normalize to 100. Accountable carries 20 because all four frameworks converge on it, not because someone decided so one morning.

The consequence matters: change one emphasis rating and the weights recalculate. That is what allows a weight to be defended before an audit committee rather than simply asserted.

How is a property scored?

On evidence, never on declaration. Five maturity levels, and each level demands more than the one before.

LevelScoreWhat proves it
Absent0No practice in place.
Declared25The intent exists, without written record.
Documented50The practice is written and accessible.
Operational75The practice is applied and observable day to day.
Measured and improved100The practice is tracked by indicators and reviewed.

The AI Index is the weighted sum of the six scores. Four posture bands locate the result: Emerging (0 to 40), Developing (41 to 60), Governed (61 to 80), Reference (81 to 100). The "Responsible AI Organization" designation is granted only at the threshold: an AI Index of at least 70, with no property below 60.

Frequently asked questions

Where do the weights of the six properties come from?

From an emphasis matrix: each reference framework rates each property H, M, or L, and the weights normalize to 100. Change one emphasis rating and the weights recalculate.

How is a property scored?

On evidence, according to the five-level maturity scale: Absent, Declared, Documented, Operational, Measured and improved. A policy that is declared but not documented caps at 25.

Does the AI id framework replace ISO 42001 or the NIST AI RMF?

No, it converges them. The framework translates four reference frameworks into a single measurable profile and prepares the organization to align with each one. Regulatory correspondences are alignment reference points; precise compliance is confirmed with legal counsel.

Read next: Move 38, the evaluation method · the Responsible AI Organization designation · the AI Index diagnostic

Your profile across six properties starts with a diagnostic.