AI literacy: a practical governance requirement under the EU AI Act

Article 4 of the EU AI Act introduces what is described as an "AI literacy" obligation. Providers and deployers of AI systems must take measures to ensure, to the best of their ability, that their staff and any persons dealing with the operation and use of AI systems on their behalf have sufficient AI literacy.

What does AI literacy mean in practice?

The regulation does not define a single standard of AI literacy. Instead, it refers to skills, knowledge, and understanding that enable staff to make an informed deployment and use of AI systems, taking into account the rights and interests of the people affected.

In practical terms, this means different things for different roles:

Why this matters beyond training tick-boxes

Many organizations already conduct some form of AI-related training. The EU AI Act requires that training be specifically calibrated to the AI systems in use and the roles interacting with them. Generic digital skills programmes are unlikely to be sufficient on their own.

Documentation matters. Organizations will need to demonstrate that literacy measures were taken — not just assert it. This means training records, role-specific content, and periodic refreshes as systems or obligations change.

Intersection with other obligations

AI literacy is directly connected to the human oversight requirements for high-risk AI systems. An organization cannot credibly claim to have human oversight if the humans involved do not have the knowledge to exercise it meaningfully.

It also connects to transparency obligations: staff who deal with AI-generated outputs and communicate them to others need to understand what they are communicating and what caveats apply.

Practical steps

Organizations should begin by mapping which roles interact with which AI systems, then assess current literacy levels against the demands of those interactions. Gap analysis leads to targeted training design — not a blanket e-learning rollout, but structured programmes aligned to actual deployment contexts.

AI literacy is not a one-time exercise. It is an ongoing capability-building commitment tied to how AI use evolves within the organization.