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.
