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Nonprofit Solutions AIMission-first AI field lab

How the field lab works

Sources reviewed July 21, 2026

Start with the decision, trace the boundary, and separate evidence from claims.

This educational method draws from official public guidance and original practical synthesis. It is not a legal opinion, audit, provider assessment, certification, or conclusion about a particular organization.

01

Begin with mission work

Every resource starts with a human-owned result, current workflow, affected people, information boundary, decision authority, fallback, and evidence gate. A product feature is not the starting problem statement.

02

Use primary sources for external claims

We prefer government, standards-body, intergovernmental, and provider-owned documentation for risk, rights, controls, terms, and product behavior. We record a review date and avoid turning general guidance into a claim of compliance or universal suitability.

03

Write original operational guidance

The guides and kits translate broad principles into owner, boundary, evidence, review, change, and exit questions. They do not reproduce source text, invent studies, claim outcomes, or imply endorsement by the organizations cited.

04

Keep revision visible

AI services, terms, models, standards, and rules change. Material content receives a visible review date. Corrections distinguish factual errors, source changes, and editorial improvements.

Official source shelf

Primary references used for this release.

NIST AI RMF 1.0 is under revision. Readers should verify the current official version and apply qualified organizational review.

NIST AI Risk Management FrameworkVoluntary risk-management framework and current revision information.Official source ↗NIST AI Resource CenterOfficial AI RMF resources, playbook material, and profiles.Official source ↗UNESCO Recommendation on the Ethics of Artificial IntelligenceInternational ethics principles and policy-action areas.Official source ↗CISA guidance for secure AI system developmentSecure-by-design guidance across the AI system lifecycle.Official source ↗FTC guidance on AI privacy and confidentiality commitmentsOfficial consumer-protection guidance about stated data commitments.Official source ↗IRS Stay Exempt key topicsOfficial nonprofit governance and compliance education context.Official source ↗

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Monthly field guidance for mission fit, data boundaries, human review, and bounded AI pilots.
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