# AI literacy

Concept · [Building with AI](https://ecosystem.samcarlton.com/ai)

Also called: AI fluency, AI skills, AI training for staff, AI basics

Enough understanding of AI to use it well and safely: what it is good and bad at, how to write a [prompt](https://ecosystem.samcarlton.com/prompt), how to check its work and what data not to share with it.

**For example:** An AI literacy workshop teaches office staff to spot [made-up answers](https://ecosystem.samcarlton.com/hallucination) and to keep client data out of public chat tools.

## Connects to (8)

- [AI](https://ecosystem.samcarlton.com/terms/ai): Artificial intelligence.
- [Prompt](https://ecosystem.samcarlton.com/prompt): The instructions or question you give an AI tool in everyday words.
- [Hallucination](https://ecosystem.samcarlton.com/hallucination): When an AI model states something false or invented as though it were true.
- [AI use policy](https://ecosystem.samcarlton.com/ai-use-policy): An organization's rules for which AI tools its people may use and what information they may put into them.
- [Data literacy](https://ecosystem.samcarlton.com/data-literacy): The ability to read, question and use data: knowing what a field or number actually means, where it came from and what it can and cannot…
- [Change management](https://ecosystem.samcarlton.com/change-management): Planning and supporting the people side of a change, such as a new tool or process, so staff actually adopt it.
- [Continuing professional education](https://ecosystem.samcarlton.com/continuing-professional-education): Ongoing training that licensed professionals, such as accountants, must complete each year to keep their license.
- [Bloom's Taxonomy](https://ecosystem.samcarlton.com/blooms-taxonomy): A framework from education that orders levels of learning from simpler to harder: remember, understand, apply, analyze, evaluate and create.

Map view: https://ecosystem.samcarlton.com/ai-literacy