This essay explores conceptual proposals for AI epistemic humility: proto‑awareness (self‑monitoring), auto‑reject thresholds (refusing harmful outputs), and CNI‑integrated confidence decay (reducing certainty when belief networks are tight). These are prototypes, not deployed systems; they illustrate directions for building AIs that can say “I don’t know.”

This concluding paper synthesises the NPF/CNI series, articulating a covenant for epistemic resilience. It revisits neurodiversity as collective strength, positions synthetic intelligence as part of the epistemic immune system with FEN metrics (proto‑awareness, auto‑reject), elaborates falsification conditions, and issues an open invitation to adversarial collaboration. The covenantal statement commits to honesty, corrigibility, inclusion, open science, and flourishing.

This paper aggregates validation status of the NPF/CNI framework. It distinguishes protocol validation (FEN, CDF, auto‑reject) from weight‑structure validation (simulation‑only, 77% confidence), states limitations upfront, and provides implementation guidance for researchers, policymakers, and AI safety. A forward‑looking research agenda outlines next steps: field trials, cross‑cultural calibration, neuroimaging, and intervention studies.