AI at Measure exists to strengthen equity - not replace humanity.
How we govern AI on this website and across our work: principles, disclosure, the policies we follow, and how to report harm.
Our principles
Lines in the sand.
Community accountability over technological efficiency
If a tool cannot equitably represent community experiences, we challenge its validity rather than accept its conclusions.
AI Interrogation, always
We scrutinize data sources, algorithms, and decision models using our Theory of Interrogative Reasoning to surface embedded bias and structural inequity.
Communities in the loop
AI may assist analysis. It cannot replace the interpretation of lived experience. Communities review every public-facing AI output.
Data dignity
PII, PHI, participant data, and confidential organizational data never enter unapproved AI systems. Period.
Disclosure at first touch
We tell you when you're interacting with an AI-powered tool - at or before first interaction, in plain, accessible language.
Environmental & systemic responsibility
We name AI's energy and water footprint, and how data center siting disproportionately burdens frontline BIPOC communities.
Where AI shows up on this site
Full transparency about our AI surfaces.
Per Section 13A of our policy, we disclose AI use before first interaction. Below is every place AI runs on wemeasure.org, what it does, and what data it sees.
Engagement Finder
- Where
- About → Join us in driving change
- Purpose
- Recommends Measure pathways (donate, Free Data Support, services, learn) based on the goals you select.
- Model
- Google Gemini via Lovable AI Gateway
- Data sent
- Only the form fields you submit - no account, no tracking, no PII required.
Permitted uses
All require human review before publication or decision.
- Drafting reports, training materials, and communications (with human review)
- Marketing copy, social posts, and graphics
- Research summaries and synthesis support
- Early drafts of grant proposals
- Meeting note drafts
- Data exploration (not final decision-making)
- Navigation bots and platform tools
- Generating community-co-designed training data
Prohibited uses
Items marked TRAIGA are also prohibited under Texas law.
- Determining participant eligibility or automating program outcomes
- Entering PII, PHI, or sensitive personal data into unapproved systems
- Publishing AI-generated content without human review
- Manipulation, misinformation, or bypassing ethical oversight
- Surveillance of staff productivity
- AI designed to incite self-harm, harm to others, or criminal activity (TRAIGA)
- AI used to unlawfully discriminate based on a protected class (TRAIGA)
- AI social scoring resulting in detrimental treatment (TRAIGA)
- Biometric identification from public sources without consent (TRAIGA)
- Agentic AI without documented ELT approval and human review
Compliance & alignment
Governed by the highest standards in the field.
Texas Responsible AI Governance Act - Measure operates as a deployer.
Healthcare AI provisions, effective Sept 1, 2025.
Federal AI executive order (Jan 23, 2025).
Responsible governance of emerging technologies.
Our compliance roadmap and TRAIGA safe-harbor anchor.
Operations produces a NIST alignment summary at every quarterly review as ongoing proof of compliance and TRAIGA safe-harbor positioning.
Incident response
When AI causes harm, we move fast.
Appendix A of our policy is the AI Incident Response Plan (AIRP). It governs detection, triage, containment, correction, and learning.
Submit an incidentNotify ELT, contain incident.
Preliminary assessment and documentation.
Corrective action plan and communication strategy.
Final Incident Report to ELT, update AI Tool Log.
Your organization already uses AI.
Now govern it.
92% of nonprofits use AI. Fewer than half have any policy in place. Through our partnership with Intentional Data, Measure is offering free, cohort-based AI literacy and governance training to organizations in our network - led by Dominique Oquendo.
Five to six 90-minute virtual sessions take your team from a readiness assessment through AI literacy, governance foundations, and hands-on tool evaluation. You leave with a working use policy, a reusable vendor-evaluation rubric, and a leadership commitment document - artifacts built to attach to a grant application or a board packet.
Built on Measure's CARE Model and Theory of Interrogative Reasoning, the NIST AI RMF, ISO/IEC 42001, and TRAIGA - and kept current by a weekly automated research watch.
our partner
What your team keeps
Real governance artifacts - not just a workshop
- Literacy diagnostic - validated, run before and after to measure the change.
- Scenario sorting worksheet - becomes your first working use policy.
- Tool evaluation rubric, 20 criteria - reusable on every future vendor pitch.
- Leadership commitment document - named accountability and an oversight cadence.
- Point-in-time upskilling report built for grant applications and board packets.
90-minute virtual sessions · five to six sessions · max 25 participants per workshop. Co-designed with your leadership before the first cohort runs.
When AI conflicts with community accountability or staff well-being, community and well-being take priority.
- Conclusion, Measure AI Acceptable Use Policy, V1 · March 2026