Technical white papers, research notes, and framework documentation from AQLEAD — written for AI architects, enterprise partners, and anyone deciding whether to build on top of this work.
The flagship technical white paper — how NEA operates as an evaluation layer between AI models and end users, the five-engine scoring architecture, and where it fits relative to existing AI safety and governance approaches.
Applications and case considerations across healthcare, financial services, government, and education — placeholder pending research and drafting.
A closer look at the cognitive and behavioral science underneath each of the five checkpoints — placeholder pending research and drafting.
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