QEN Framework · Quantification of Ethical Naturalness

From Regulation
to Governable Decisions.

QEN Sovereign helps organisations reduce AI risk and turn regulations, evidence and accountability into explainable, measurable and traceable decisions. Its principles, scoring and architecture provide the technical proof behind operational governance.

The Formula

An equation that measures quality across three dimensions.

The QEN score results from three weighted components capturing the fundamental value dimensions: social, environmental and territorial.

QEN = (Vs × 0.40) + (Va × 0.35) + (Vt × 0.25)
Vs — Social Value Workforce inclusion and diversity, stable employment contracts, continuous training, employee welfare and accessibility for vulnerable groups. dominant weight · 40%
Va — Environmental Value Active environmental certifications, energy consumption efficiency, local (km0) sourcing, waste management and recycling, verifiable carbon footprint. secondary weight · 35%
Vt — Territorial Value Rooting in geographic context, local identity, short supply chain and ecosystem belonging. complementary weight · 25%
Range
0.00 1.00
▪ 0.00–0.60 critical ▪ 0.60–0.75 monitored ▪ 0.75–1.00 excellent
Algorithms

The computational engines powering the QEN graph.

Each algorithm operates on a specific subset of the graph, producing partial scores that feed into the aggregated QEN.

ALGO · 01

ColtFragr

Colt Frag · Ethical Logistics. Evaluates the logistical quality and territorial ethics of the operating model relative to its reference territory.

Input: Vs · Vt
ALGO · 02

TradRad

Rooted Tradition. Measures the historical depth and continuity of artisanal practices against a territory's documented standards.

Input: Vs · Va
ALGO · 03

EcoLocal

Local Ecosystem. Quantifies integration within the territorial network: short supply chain, producer relationships, impact on the local community.

Input: Va · Vt
Logical Architecture

The processing chain from data to score.

01 · Input
Bottega / Artefatto / Algoritmo
02 · Parsing
Semantic attribute extraction
03 · Scoring
Compute Vs, Va, Vt per node
04 · Weighting
Apply QEN formula weights
05 · Aggregation
Score QEN ∈ [0.00, 1.00]
06 · Output
Node classified in the semantic graph
Bring governance into AI systems

Explore the live QEN graph or request a demo.