AI Literacy under Article 4 of the EU AI Act: What Is Actually Required

Article 4 has applied since 2 February 2025 and binds every provider and deployer of AI — not just high-risk ones. What the obligation covers and how to meet it.

An obligation that is already in force, and that almost everyone is in scope of

Article 4 is short, and that brevity is why it is routinely overlooked. It 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 people dealing with the operation and use of AI systems on their behalf.

Three features make it unusual:

• It applies to all AI, not just high-risk. Almost every other substantive duty in the Regulation is gated on risk classification. This one is not.
• It has applied since 2 February 2025. While the high-risk obligations were deferred to 2027 and 2028 by the Digital Omnibus, Article 4 was not.
• It reaches beyond employees. "Persons dealing with the operation and use of AI systems on your behalf" pulls in contractors, agency staff and outsourced operators.

If your organisation uses a commercial AI assistant, a CV-screening tool or an AI feature embedded in existing software, you are a deployer and Article 4 binds you today.

What "sufficient" means

The Regulation does not define a syllabus. It defines the factors that make a level of literacy sufficient. Measures must take into account:

• the technical knowledge, experience, education and training of the people concerned
• the context in which the systems will be used
• the persons or groups of persons on whom the systems will be used

That last factor is the one most often missed. Literacy is calibrated partly by who is affected, not only by who operates. A tool that screens job applicants demands a higher standard than one that drafts internal meeting notes, even if the operator is the same person.

The recital gloss is that AI literacy should equip people to make informed deployment decisions and to understand the opportunities, risks and possible harms of AI — including how to interpret output, and when not to rely on it.

A workable interpretation

Because Article 4 sets an outcome rather than a curriculum, the defensible approach is role-based rather than universal.

The link to human oversight

Article 4 is not a standalone compliance chore. It is the precondition for Article 14.

Human oversight for high-risk systems must be effective: the designated person has to be able to understand the system's capacities and limitations, remain aware of automation bias, correctly interpret output, and decide not to use the system or to override it. None of that is achievable by someone who has not been trained. In practice, a weak Article 4 programme converts directly into an Article 14 failure at the point where it matters most — and Article 14 does sit in the €15 million / 3% penalty tier.

Evidencing it

There is no certificate to obtain, so the evidence is your own record. A defensible file usually contains:

1. An AI inventory — which systems are in use, by whom, in what role. This doubles as the starting point for high-risk classification.
2. A role-to-competence mapping — the table above, adapted to your organisation.
3. Delivered training records — dates, audiences, content, attendance.
4. Internal usage rules — an acceptable-use policy covering what may be entered into which system, and what output may be relied on without review.
5. A refresh cadence — the obligation is continuous, and the systems change.
6. Contractor coverage — evidence that people acting on your behalf are included.

Common misreadings

"It only applies to high-risk systems." It does not. Article 4 sits in Chapter I, General Provisions, and is unqualified by risk category.

"We bought a tool, so it is the vendor's problem." The vendor is the provider and has its own Article 4 duty. Yours as deployer is separate and non-transferable.

"We will handle it with the 2027 high-risk work." The obligation has been enforceable since February 2025. Deferring it to the high-risk deadline leaves a gap of nearly three years on an obligation that is already live.

"One e-learning module for everyone is enough." Possibly, for a small organisation with a narrow AI footprint. But the statutory factors are role-, context- and impact-sensitive, so a single generic module is hard to defend where the footprint is broad.

Start from Article 4 itself, then work the compliance checklist to see how literacy connects to the rest of the obligation set.