Art. 4 EU AI Act: AI Literacy Obligations for Organisations

Updated: June 2026 — full revision to Validai quality standard

Introduction: Literacy as a Legal Obligation

Article 4 of the EU AI Act introduced something novel in EU technology regulation: a skills obligation. Not a documentation requirement, not a technical standard — but a requirement that organisations ensure the people who work with AI actually understand it. Art. 4 applies to all providers and deployers, regardless of risk class, and has been in force since 2 February 2025.

The obligation is deceptively simple to state but complex to implement: "Providers and deployers of AI systems shall take measures to ensure, to their best extent, a sufficient level of AI literacy of their staff and other persons dealing with the operation and use of AI systems on their behalf."

This article analyses what "sufficient AI literacy" means in practice, how to build a proportionate training programme, and how to document compliance for supervisory purposes.

Who Is Covered by Art. 4?

The personal scope of Art. 4 is broad: "staff and other persons dealing with the operation and use of AI systems." This includes:

• Employees who directly use AI systems in their work
• Managers who oversee AI-assisted processes
• IT staff responsible for AI system integration and maintenance
• Compliance and legal staff assessing AI systems
• External contractors who operate AI systems on the organisation's behalf
• Board members responsible for governance of AI deployment

The obligation does not extend to every employee in the organisation — only those involved in AI operation and use. However, for most modern organisations, this is a substantial portion of the workforce.

What Does "Sufficient AI Literacy" Mean?

The EU AI Act does not define a minimum curriculum. Instead, it specifies the objective: understanding sufficient to enable responsible and informed use of AI systems. The relevant preamble (Recital 20) identifies three dimensions:

1. Technical literacy: Understanding how AI systems work, including their limitations, potential for error, and the nature of their outputs
2. Domain literacy: Understanding the specific risks and implications of AI in the relevant professional context
3. Regulatory literacy: Understanding the applicable legal obligations and the organisation's policies

The level required is proportionate to the role. A manager who approves AI-generated loan decisions needs deeper technical and regulatory literacy than an employee who uses a spell-checker. A supervisory authority assessing compliance will evaluate whether the literacy level matched the risk level of the AI system in use.

Building a Proportionate Literacy Programme

Step 1: Stakeholder Mapping

Map every AI system in use against the staff who interact with it. Create a matrix: role × AI system × required literacy level (basic / intermediate / advanced).

Step 2: Baseline Assessment

Assess current AI literacy levels. This can be a simple self-assessment survey combined with a structured knowledge test. The gap between baseline and required level determines your training investment.

Step 3: Training Programme Design

Design differentiated training by role and AI risk level:

• All staff: Basic AI awareness (what AI is, what it is not, how to recognise AI-generated content)
• AI system users: System-specific training including limitations, override procedures, and escalation paths
• High-risk AI users: Full Art. 26 obligations, human oversight procedures, incident reporting
• AI governance staff: Regulatory framework, classification methodology, documentation requirements

Step 4: Documentation and Evidence

For supervisory purposes, maintain records of: training completion by staff member, training content and date, assessment scores, and annual refresh cycles. This documentation demonstrates your "best extent" efforts under Art. 4.

Relationship with Other Art. 26 Obligations

Art. 4 does not exist in isolation. Inadequate AI literacy creates downstream violations:

• Art. 26.2 (human oversight): Oversight by a person who does not understand the AI output is not meaningful oversight. Courts and supervisors are expected to assess literacy as a precondition for oversight effectiveness.
• Art. 26.5 (monitoring): Post-market monitoring requires users who can recognise anomalous system behaviour.
• Art. 73 (incident reporting): Identifying a "serious incident" requires staff who understand what constitutes unexpected AI behaviour.

Compliance Checklist

1. Have you identified all staff and contractors who interact with AI systems?
2. Have you assessed the required literacy level for each role based on the AI systems used?
3. Is there a documented training programme with differentiated content by role?
4. Do you have evidence of training completion for all covered staff?
5. Is there an annual refresh process for AI literacy training?
6. For high-risk AI users: does training specifically cover the Art. 26 obligations relevant to their role?
7. Does board-level governance include AI literacy elements?