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Glossary · AI & Development

AI Literacy

The practical knowledge and judgement needed to use AI tools effectively and safely in a workplace context.

In detail

AI literacy covers understanding what AI tools can and cannot do, how to write effective prompts, how to evaluate and verify AI output, when to trust and when to check, and how to use AI tools within organisational policy. It is distinct from technical AI knowledge (building models, writing code) and closer to the digital literacy concept that emerged with the internet: every knowledge worker needs a working understanding even if they are not building the tools. For most Australian business staff AI literacy means being a critical consumer of AI output, not a passive one.

Why it matters for Australian business

The productivity gap between AI-literate and AI-illiterate staff is measurable and growing. Australian businesses that invest in staff AI literacy earlier capture compounding gains. The risk of not investing is twofold: missed productivity and unsafe use (staff sending sensitive data to consumer AI tools, relying on hallucinated outputs, or bypassing internal systems). We run AI literacy workshops calibrated to each team's existing knowledge and the specific tools they use.

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