# AI Literacy Framework

This framework organizes AI learning into practical tiers for healthcare operations teams.

## Tier 1: Curious

Learners understand what AI assistants can and cannot do.

Example outcomes:

- Draft a simple summary from non-sensitive content.
- Identify why AI output requires human review.
- Recognize when not to use AI without local guidance.

## Tier 2: Capable

Learners use AI for daily productivity tasks with better prompting and verification.

Example outcomes:

- Rewrite notes into a structured draft.
- Ask for assumptions and missing information.
- Compare AI output against source material.
- Use a basic data-handling checklist.

## Tier 3: Creator

Learners design reusable prompts, assistant patterns, or workflow templates.

Example outcomes:

- Build a repeatable prompt pattern.
- Define inputs, outputs, and review steps.
- Test the pattern against synthetic examples.

## Tier 4: Champion

Learners support peers, collect feedback, and improve team practices.

Example outcomes:

- Facilitate office hours or peer review.
- Identify adoption barriers.
- Help route uncertain workflows to local review.

## Core Habits

- Treat AI output as a draft.
- Keep source material available for verification.
- Avoid sensitive data unless local controls and review explicitly support the use case.
- Document assumptions and uncertainty.