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The ability to understand how AI systems work at a level sufficient to use them effectively, evaluate their outputs critically, and recognize their limitations. Article 4 of the EU AI Act, as replaced by the Digital Omnibus, requires providers and deployers of AI systems to take measures to support the AI literacy of their staff and others operating AI on their behalf; it does not require them to guarantee a specific level for any individual. For small teams, AI literacy means every employee who uses AI tools should understand: that outputs can be wrong, that human review is their responsibility, and that the organization has policies governing appropriate use.
Why this matters for your team
AI literacy training is the difference between governance on paper and governance in practice. Every employee who uses AI tools needs to understand that outputs can be wrong and that human review is their responsibility — not the AI's.
A company runs a 30-minute AI literacy session with all new hires, covering what LLMs can and cannot do, what data is off-limits, and how to report unexpected outputs.