AI Literacy Under Article 4 of the EU AI Act

Article 4 requires providers and deployers of AI systems to take measures to ensure, to their best extent, a sufficient level of AI literacy among their staff and other persons dealing with the operation and use of AI systems on their behalf.

Crucially, the required level is not fixed. It must account for:

• the technical knowledge, experience, education and training of the people concerned, and
• the context in which the AI systems are to be used, and the persons on whom they are used.

In other words, the literacy expected of a data science team differs from that expected of a customer-service agent using an AI assistant. The duty is to calibrate, not to certify everyone to the same standard.

The AI literacy obligation has been in force since 2 February 2025, the same date the prohibited practices under Article 5 began to apply. It sits at the front of the Act's staggered timeline — see the full EU AI Act deadlines for context.

Because it applied so early and carries no risk-tier or headcount threshold, it is often the first concrete obligation an organisation must satisfy — well before any high-risk or transparency deadlines.

The duty falls on both providers (those developing AI systems and placing them on the market) and deployers (those using AI systems under their authority in a professional capacity). It reaches beyond direct employees to other persons operating AI systems on the organisation's behalf — which can include contractors and outsourced operators.

What it does not require is a formal qualification or licence. It is an outcome-based duty: the relevant people should understand enough about the AI systems they work with — their capabilities, limitations and risks — to use them responsibly in their specific role. Use the free risk checker to map which of your systems and roles fall in scope.

A defensible AI literacy programme typically covers:

• Fundamentals — what AI is, how the systems in use work at a high level, and their known limitations (including bias and hallucination).
• Role-specific guidance — how each team should and should not use the AI tools available to them, and when a human must stay in the loop.
• Risk and rights awareness — the harms the AI Act guards against, and where the organisation's use touches on safety, fundamental rights or personal data. Overlaps with GDPR are worth calling out here.
• Escalation — who to contact when an AI system behaves unexpectedly.

Proportionality is the guiding principle: brief, targeted training for low-risk everyday tool users; deeper training for those building, configuring or overseeing higher-risk systems.

Article 4 is best evidenced with training plus records. Because the obligation is outcome-based, an authority will look for proof that you took reasonable, tailored measures — not just a policy on paper. Maintain:

• Training records showing who was trained, on what, and when.
• Role-mapped content demonstrating that the training was calibrated to different groups' knowledge and context of use.
• A refresh cadence, so literacy keeps pace as tools and staff change.
• A written AI-use policy the training reinforces.

Treat the training register as the primary artefact. If you can show a current, role-differentiated record of who learned what, you have the strongest available demonstration that you met the duty 'to your best extent'.