Yes, and they are the people it matters most for. Article 4 requires providers and deployers to take measures so that staff dealing with the operation and use of AI systems on their behalf have a sufficient level of AI literacy. A person who approves, reviews or overrides an agent's actions is squarely in that group.
What does Article 4 actually require?
Article 4 of the EU AI Act is short. Providers and deployers must take measures to ensure, to their best extent, a sufficient level of AI literacy among their staff and others who operate or use AI systems for them. The level should reflect each person's technical knowledge, experience, education and training, the context the system is used in, and the people it affects.
Three features shape how it applies to supervisors:
- It is not limited to high-risk systems. Every AI system in use is covered, including an agent that only drafts letters.
- It is proportionate. "Sufficient" depends on the role. A credit officer approving an agent's recommendations needs more than a colleague who reads its summaries.
- It sits alongside human oversight. For high-risk systems, Article 14 and the deployer duties in Article 26 also require that the people assigned to oversight have the competence, training and authority to do it.
A deeper reading of the article for supervising teams is in EU AI Act Article 4 AI literacy for teams that supervise agents.
This is an explanation of the rules, not legal advice; confirm how they apply to you with counsel.
Why does supervising an agent need different literacy?
General AI awareness teaches that models can be wrong. Supervising an agent asks more. The person must understand what this agent is permitted to do, how far it may act on its own, what it read before it acted, and when it is expected to stop and hand over.
The specific failure to guard against is automation bias at the approval step. An agent that is right most of the time trains its reviewer to click "approve". Literacy for a supervisor is mostly about knowing which items deserve a second look and having the time and authority to give it. The term itself is unpacked in what AI literacy is.
What should a supervisor know, and what is the agent's job?
| The supervisor should know | The agent should make visible |
|---|---|
| The agent's role and its depth for each capability | Which capability it used, at what depth |
| Which sources it is allowed to rely on | Where each fact came from |
| What a held item means and who owns it | Why an item was held, and which bound decided |
| How to reject, correct and escalate | A clear route to reject, with the reason recorded |
| Known weaknesses from the agent's testing | Its confidence and any gaps it filled |
The table makes a point that is easy to miss: literacy is partly a design duty. A supervisor cannot judge an action they cannot see.
An illustrative example
Take an insurer's claims team in Ireland. An agent reviews motor claims under a set value, checks them against the policy wording and drafts a settlement for a handler to approve. Twelve handlers approve these drafts.
The insurer's first literacy plan was an hour-long course on AI for all staff. Handlers passed it and kept approving nearly every draft. The revised plan was specific to the job: handlers learnt how the agent reads policy wording, the three kinds of claim it was weakest on in testing, and how to read the source trail beside each draft. Approval stopped being a formality. The insurer recorded who completed which module, and linked each handler's approval rights to completion.
Which controls show you meet it?
- Role-based literacy requirements, written per supervising role, not one course for everyone.
- Approval rights tied to completion, so nobody can approve an agent's held action without the training for that agent.
- Refreshers on change, when the agent's brief, sources or depth change.
- Review sampling, where a second person checks a sample of approvals to see whether reviewers are reading or rubber-stamping.
- Records of who was trained, on what, and when.
These are worked through step by step in how to meet AI literacy duties for staff who supervise AI agents. For where Article 4 sits among the other obligations, see whether the EU AI Act applies to AI agents and the wider map of AI agent regulation to controls.
Questions people ask
Does Article 4 require a certificate or exam?
No specific certificate is required. You need measures that achieve a sufficient level for the role, and records showing what you did. An assessment can be part of that, but it is your choice.
Are contractors and outsourced staff covered?
The article refers to staff and other persons dealing with AI systems on your behalf, so an outsourced team approving your agent's actions should be in scope of your literacy measures.
Is Article 4 only for high-risk agents?
No. It covers all AI systems that providers and deployers put into use. The depth of literacy needed is higher where the agent's actions matter more.