Glossary · Term
AI literacy
The ability to understand AI, apply it to real work, and judge its output critically.
AI literacy is broader than writing prompts. It includes knowing when to use AI, how to verify the result, and how to judge time, cost, and risk.
✅ Why it matters
- Helps people treat AI as a work tool rather than a novelty.
- Makes it easier to manage risks such as hallucination, privacy, and copyright.
⚠️ Limits and debates
- Knowing many tool names is not the same as real literacy.
- Copying examples without work context limits the benefit.