Artificial intelligence literacy includes a basic understanding of models, training data, prompts, generated output, uncertainty, bias and privacy. A literate user can recognize when a system is being used and ask appropriate questions about its evidence, limitations and incentives.
Literacy is broader than knowing how to operate one product. It helps people evaluate new tools, understand social consequences and make informed choices even as interfaces and model capabilities change.
Acronyms and aliases
AI literacy acronymartificial intelligence literacy variant
Specialised terms
Related terms
Frequently asked questions
What should an artificial intelligence-literate student know?
A student should understand basic model behavior, common limitations, verification, privacy, bias, attribution and when human expertise or judgment is required.
Is artificial intelligence literacy a technical skill?
It includes technical concepts, but it also includes critical thinking, ethics, social impact and the ability to evaluate model use in a real context.
