Open-source AI literacy curriculum
Build judgment, not just awareness.
AI Literacy Lab is a free curriculum for helping people make better decisions when AI systems are useful, persuasive, incomplete, risky, or wrong.
Standards-aware practice
Informed by risk management, privacy, and learning science.
The lab is designed for general office work, including regulated settings where people need practical habits: classify risk, protect data, verify claims, preserve accountability, and escalate when the use exceeds ordinary review.
Self-check prompts run in the browser and do not submit learner writing. They support practice; they do not certify correctness or policy compliance.
Syllabus
A sequenced lab path
Move through the modules in order. Progress is stored only in this browser, so the sequence supports learning without accounts or tracking.
The lab begins with a pre-reflection and ends with a post-reflection. Both are saved locally and included on the learning record, so write them as real evidence of learning rather than placeholders.
Estimated full lab time: 2-3 hours.
Your progress stays in this browser unless you reset it, clear site data, use private browsing, switch browser or device, or access the lab from a different domain.
- Module 1Open
What AI Is Good and Bad At
15 min
Learners classify AI uses by considering task type, context, stakes, data sensitivity, verification options, and accountability.
- Module 2Locked
Why Confident Answers Can Be Wrong
20 min
Learners inspect polished AI output for unsupported claims, missing evidence, false precision, and overconfident language.
- Module 3Locked
Data, Privacy, and Confidentiality
20 min
Learners classify information sensitivity and choose safer alternatives for AI-assisted work.
- Module 4Locked
Bias, Fairness, and Representational Harm
25 min
Learners examine neutral-looking outputs for uneven assumptions, proxy variables, and downstream harm.
- Module 5Locked
Human Accountability and Review
20 min
Learners distinguish AI assistance from delegated responsibility and define meaningful human review.
- Module 6Locked
Using AI Well in Everyday Work
20 min
Learners redesign AI-assisted workflows to include purpose, constraints, inspection, verification, and ownership.
- Module 7Locked
Risk Classification and Escalation
25 min
Learners classify ambiguous AI use cases and defend whether to proceed, modify, pause, document, or escalate.
- Module 8Locked
Public Benefits AI Decision Simulation
35 min
Learners integrate the full curriculum into a defensible recommendation for a public benefits backlog scenario.