Article 4 of the EU AI Act

EU AI Act Article 4: AI literacy training for companies

AI literacy training to support EU AI Act Article 4 measures: practical exercises tailored to your organisation and certificates of completion.

Registered adult education provider in HungaryAdult education registration number: B/2026/000648

What does the programme provide?

A shared, accessible understanding of AI for relevant employees

Recognition of the opportunities, limits and risks of the AI systems in use

Preparation tailored to roles and the organisational context

Certificates of completion for participants who meet the requirements

Who is it for?

A good fit

  • companies whose employees use ChatGPT, Copilot or other AI tools
  • organisations providing, developing or deploying AI systems
  • teams whose roles, tools and AI risks differ

Less suitable

  • replacing a complete legal or technical AI Act audit
  • independently satisfying every compliance duty applicable to a high-risk AI system

What does Article 4 require?

Supporting AI literacy development

Providers and deployers of AI systems must take measures to support the development of AI literacy among their staff and others operating or using AI systems on their behalf. Article 4 does not require them to guarantee any individual's specific level of AI literacy.

Not limited to employees

The requirement may also cover people operating or using AI systems on the organisation's behalf, including certain contractors and service providers.

Knowledge- and role-based preparation

Measures must take account of people's technical knowledge, experience, education and training. We adapt QvAI's programme to this background and to participants' work.

A risk- and context-based approach

The context in which AI systems are used and the people affected by that use matter. We therefore use different examples for a writing assistant and a system processing customer data.

How we shape the training programme

01

A general understanding of AI

What is AI, how does it work, which AI systems does the organisation use, and what are their most important opportunities, limits and risks?

02

Clarifying the organisation's role

Does the company develop or provide its own AI system, or use another provider's system? The programme clarifies the related responsibilities.

03

Understanding system risks

Participants learn about typical errors, data issues, human-review points and risk-reduction measures for the AI tools they use.

04

Adapting preparation to context

The curriculum reflects participants' knowledge, roles, affected people, intended use and industry context.

Organisation-specific implementation and documentation

Article 4 does not prescribe a uniform training format or a separate AI Act certificate. Practical training can be one of the measures supporting AI literacy development. QvAI's programme uses the organisation's own AI scenarios. As a registered adult education provider in Hungary, we issue certificates of completion to participants who meet the programme requirements.

initial organisational and AI-tool assessment
curriculum tailored by role and risk
organisational usage rules and practical scenarios
certificates of completion for eligible participants
Current AI Act text on EUR-Lex

Frequently asked questions

Since when has Article 4 applied?

The original Article 4 provisions have applied since 2 February 2025. Regulation (EU) 2026/1744 amended the wording on 27 July 2026: the duty is to take measures supporting AI literacy development, without guaranteeing any individual's specific level of AI literacy.

Which companies are affected?

The requirement concerns organisations that provide or deploy AI systems. In practice, this can include many companies whose employees use general-purpose or embedded AI tools for business tasks.

Is this exact training format mandatory?

No. Article 4 does not prescribe a uniform course or exam. Measures must reflect prior knowledge, the context of use and the people affected. Training, internal guidance and practical support can all form part of the organisation's measures.

How do we choose the training topics?

We cover how AI works and its limitations, the organisation's provider or deployer role, and risks of the systems in use. Examples reflect participants' knowledge and work. These are programme design considerations, not mandatory course modules prescribed by law.

How is the programme tailored to the company?

Before starting, we review the AI tools in use, affected roles, data and approval rules, and typical risks. Examples and exercises are then based on these real situations.