AI glossary · AI basics
AI literacy
AI literacy is knowing enough about how AI works to use it well: when to trust it, how to check it, and where its limits and risks are.
Also called AI fluency
In more detail
Being AI literate doesn’t require coding. It means understanding that chatbots predict likely text rather than look up facts, that they can hallucinate, and that what you type may be stored.
It also includes practical skills such as writing a clear prompt, checking sources and noticing bias. Schools and employers increasingly treat it as a basic skill.
Example
Asking a chatbot for sources and then opening them to confirm they exist and say what it claims.
Related terms
PromptA prompt is the instruction or question you give an AI tool, such as a message to a chatbot or a description for an image generator.AI hallucinationAn AI hallucination is when an AI confidently gives an answer that is false or made up, such as a fake fact, quote or source.Automation biasAutomation bias is the tendency to trust a computer’s answer more than we should, and to check it less carefully than we would a person’s.Responsible AIResponsible AI is the practice of building and using AI in ways that are safe, fair, transparent and accountable, with people kept in control.
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