Offer books to readers everywhere – simply and on your own terms.
Offer books to readers everywhere – simply and on your own terms.
Building AI Literacy and Confidence Among Staff
Staff don’t need a lecture. They need a way to work.
When leaders announce “We’re using AI,” staff hear different things: some hear opportunity, some hear surveillance, some hear risk, and some hear one more initiative they’ll be blamed for getting wrong. Your job is to replace that noise with a simple training truth: you are not training people to be AI experts; you are training them to make sound choices in the work they already do.
AI literacy is the ability to recognize when a tool is using AI, understand its limitations, protect student privacy, verify outputs, and follow district boundaries. If training doesn’t include verification and privacy boundaries, it’s incomplete.
Tool: The 60-Second Human Review Checklist (Staff-Facing — Copy, Post, and Use Before Every AI-Assisted Output)
Before you use or share an AI-assisted output, ask:
1. Is it accurate? Verify all facts, data, and claims before sharing. AI produces confident errors.
2. Is it appropriate for the audience and context? Consider tone, grade level, and who will read or receive it.
3. Does it include student PII or sensitive student information — or anything that could identify a student? Names, IDs, addresses, disability information, discipline records — stop. Remove it. Do not share.
4. Could it unfairly describe or impact a student group? Scan for bias, stereotyping, or language that excludes or harms.
5. Would I stand behind this if it were read aloud in a meeting? If not — rewrite it. AI assists. You remain accountable for every word.
If any answer is “not sure” — stop and ask before sharing.
Post this where people actually plan and communicate: workrooms, LMS home pages, shared drives — not buried in an email attachment. The safe path has to be the easy path.
