Explainable scoring
AssessTechniques
A scoring method designed to make recommendation outputs interpretable and auditable.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by framework updates, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 4InfoQ·9/21/2026framework_updateGovernance-First Architecture for Enterprise Personalization
The article argues that conventional personalization systems are limited when relevance is treated separately from governance. It proposes a governance-first architecture that combines stateful memory, policy-driven AI orchestration, and explainable scoring to make recommendations context-aware, auditable, and compliant.