AI literacy
Understand common strengths, limitations, hallucinations, and where AI needs verification.
AI readiness
AI readiness is more than knowing how to write a prompt.
It means being able to choose appropriate uses for AI, provide good context, protect important data, verify the result, and keep people responsible for decisions that matter.
Practical skill
Give useful instructions, supply appropriate context, and improve output through iteration.
Privacy awareness
Know what information should not be shared with an unapproved tool.
Workflow judgment
Choose tasks where AI can help and understand the existing process before automating it.
Human review
Check important outputs and keep people responsible for consequential decisions.
Ability to apply
Turn knowledge into repeatable work that creates useful value.
How do you know where you stand?
Use a readiness score or checklist to identify strong areas and gaps, then choose one practical next step instead of trying to learn everything at once.