Article 4
What is the AI literacy obligation in Article 4?
In force since February 2025, frequently missed, and one of the simplest obligations to evidence properly.
Short answer
Article 4 of the EU AI Act requires providers and deployers to take measures to ensure, to their best extent, a sufficient level of AI literacy among their staff and other persons operating and using AI systems on their behalf, taking into account technical knowledge, experience, education and training, and the context in which the systems are used. The obligation applied from 2 February 2025 and is not limited to high-risk systems.
Reviewed 2026-08-02. General information for governance planning, not legal advice.
Key points
- Applies to providers and deployers, not only high-risk operators
- In force since 2 February 2025
- Must be proportionate to role, context and risk
- Generic all-staff e-learning alone rarely satisfies it
- Human oversight cannot be effective without it
- Evidence means records of who was trained, on what, and when
Why it underpins everything else
Human oversight is the control the Act relies on most heavily, and it is worthless if the person exercising oversight does not understand the system's limitations, failure modes or the meaning of its outputs. Article 4 is the precondition for oversight being real rather than nominal.
It is also the obligation regulators can test quickly. Asking an oversight owner to explain what their system does and when it should be overridden is a short conversation with a clear answer.
Proportionate literacy by role
- Executive: accountability, risk appetite, escalation and reporting duties
- System owner: purpose, limitations, monitoring and change triggers
- Oversight operator: override conditions, failure modes, escalation route
- Procurement: supplier duties, documentation and contractual obligations
- Legal and risk: classification, applicability and evidence expectations
- General staff: permitted use, disclosure duties and reporting channels
Evidencing it
The record should tie training to systems and to people: which roles are exposed to which systems, what each role was trained on, when it was delivered, and when it was refreshed following a material change to the system.
AIRAS Cloud attaches oversight ownership to each registered system, so competence and accountability are held against the system rather than in a separate training silo.
Frequently asked questions
- Does Article 4 apply if we only use low-risk AI?
- Yes. The obligation applies to providers and deployers generally, though the measures required are proportionate to the role, context and risk involved.
- Is an annual e-learning module enough?
- Rarely on its own. The obligation is tied to the systems people actually operate, so role-specific content covering limitations, oversight and escalation is expected for exposed roles.
- Who is responsible for AI literacy?
- The provider or deployer organisation. In practice it is usually discharged jointly by the system owner, the risk function and the people function, with accountability recorded against each system.
Primary sources
How AIRAS Cloud supports this
Related answers
Turn the regulation into an operating record
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