How to Build an AI Literacy Program Under the EU AI Act

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Artificial intelligence is changing how businesses operate. Companies use AI tools to write content, analyse data, support customers, develop software, and automate everyday tasks. While these tools can improve productivity, employees also need to understand their limitations, risks, and appropriate use.

For organisations operating in Europe, Article 4 of the EU AI Act addresses this through AI literacy measures. Providers and deployers of AI systems must take measures to support AI literacy among their staff and other people who operate or use AI systems on their behalf.

However, creating an effective AI literacy program involves more than sharing an AI policy or asking employees to complete an introductory course. Businesses need to understand which systems they use, who interacts with them, and what people should know about those systems.

This guide explains how organisations can create a practical AI literacy program and connect employee learning with their wider AI governance activities.

What Is AI Literacy Under the EU AI Act?

AI literacy refers to the knowledge and skills that help people understand AI systems, their capabilities, their limitations, and the potential consequences of using them.

Article 4 of the EU AI Act requires providers and deployers to take measures that support the development of AI literacy. Those measures should reflect people's existing knowledge, experience, education, training, the context in which the systems are used, and the people affected by their use.

The obligation has applied since 2 February 2025. Following the 2026 amendment, Article 4 does not require organisations to guarantee a specific level of AI literacy for every individual.

The law also does not prescribe a universal training course, minimum number of training hours, or mandatory certificate.

Organisations should therefore select measures that suit their circumstances rather than rely on a single standardised approach.

For a detailed explanation, read the AI Literacy Training Under Article 4 guide.

Why Businesses Need an AI Literacy Program

Employees may use AI without fully understanding how its outputs are generated or where errors can occur.

For example, a marketing employee might publish an inaccurate AI-generated claim. A developer might accept insecure code suggested by an AI assistant. A support representative might share confidential customer information with an unapproved tool.

These situations demonstrate why AI literacy should be connected to everyday business activities.

A structured program can help organisations:

  • Improve employees' understanding of AI capabilities and limitations.

  • Explain the responsible use of approved AI tools.

  • Identify risks associated with particular AI applications.

  • Clarify when human review or escalation is appropriate.

  • Connect AI awareness with internal policies and governance procedures.

Training does not eliminate every risk or automatically establish compliance. It helps people make more informed decisions when working with AI systems.

Step 1: Identify the AI Systems Used in Your Organisation

Start by identifying where AI appears in your business.

Create a basic inventory of AI systems, including tools used by individual departments and AI features embedded in existing software.

For each system, record its name, business purpose, owner, users, and relevant data or risks. Also determine whether your organisation develops the system, uses a third-party system, or performs both roles in different circumstances.

For example, a SaaS business might use an AI coding assistant in engineering, a chatbot in customer support, and a generative AI tool in marketing.

Each use case creates different learning needs.

An AI inventory provides a starting point for deciding which people need guidance and what that guidance should cover.

Step 2: Determine Who Needs AI Literacy Measures

Article 4 covers providers and deployers of AI systems. The relevant people are not necessarily limited to permanent employees.

Depending on the circumstances, an organisation may need to consider contractors or other people who operate or use AI systems on its behalf.

The appropriate measures will vary by role.

Employees using AI tools

Employees who use generative AI for writing, research, translation, or analysis should understand how to verify outputs, protect confidential information, and follow approved usage policies.

Developers and technical teams

Developers may need more detailed guidance about generated code, security vulnerabilities, model limitations, testing, and the safe integration of AI features.

Managers and decision-makers

Managers should understand the purpose of the AI systems used by their teams, relevant risks, and the procedures for escalating concerns.

Compliance and legal teams

These teams may need guidance on AI governance, documentation, data protection, risk assessment, and the regulatory obligations relevant to specific systems.

These are practical examples rather than mandatory categories defined by Article 4.

To explore the scope in more detail, see Who Needs AI Literacy Training Under the EU AI Act?.

Step 3: Design Practical Training Activities

Once you understand your AI systems and audiences, select suitable learning activities.

A program might combine short workshops, demonstrations, written guidance, internal discussions, and online learning modules.

For example, a developer training session could ask participants to review AI-generated code and identify potential security issues. A marketing workshop could focus on verifying claims and checking sources before publishing AI-generated content.

Customer-facing teams could practise identifying misleading outputs and recognising when a human should review an AI-generated response.

The goal is to connect AI literacy to situations people encounter in their work.

Training materials should also explain where employees can find approved tools, which information they must protect, and whom they should contact when they identify a concern.

Step 4: Connect AI Literacy With AI Risk Management

AI literacy is one part of a broader AI governance approach.

Organisations should understand the risks associated with their AI systems and provide relevant guidance to the people who use or operate them.

Consider an AI-powered recruitment system. Employees involved in the process may need to understand the system's intended purpose, its limitations, the possibility of biased outputs, and the applicable human oversight procedures.

If the system qualifies as high-risk AI, additional legal obligations may apply. Training alone does not replace those requirements.

Businesses managing multiple AI applications may benefit from organising system inventories, risk classification, documentation, and governance workflows together.

AnnexOps AI Compliance Software helps organisations structure AI compliance operations and manage governance activities through a centralised workflow.

Step 5: Keep Records of AI Literacy Activities

Article 4 does not require a particular training certificate. However, maintaining appropriate internal records can help organisations understand what measures they have taken and when those measures may need review.

A simple record can include:

  • The employee or team covered.

  • The AI system or use case involved.

  • The subject of the training.

  • The date and format of the activity.

  • Participation or completion status.

  • The date for reviewing the guidance.

The level of documentation should reflect the organisation's needs and the complexity of its AI use.

Avoid treating attendance as the only measure of an effective program. A useful record should connect the activity to the people, systems, and risks it was designed to address.

For a practical list of tasks and records, use the AI Literacy Training Checklist for Companies.

Step 6: Review and Update the Program

AI systems and business processes change over time. A training program that was suitable six months ago may no longer cover the organisation's current tools or risks.

Review the program when a new AI application is introduced, a system's purpose changes, or employees begin using AI in a different workflow.

You should also revisit internal guidance when an incident reveals a knowledge gap or when relevant regulatory requirements change.

Assigning someone to coordinate these activities is a useful operational practice. Article 4 does not, however, mandate a dedicated AI literacy officer.

Regular reviews help keep training relevant without requiring the organisation to rebuild the entire program every time a tool changes.

Common Mistakes to Avoid

Organisations should avoid relying entirely on generic awareness sessions, treating certificates as proof of compliance, or giving every employee identical training regardless of their responsibilities.

Another common mistake is overlooking people who operate or use AI systems on the organisation's behalf but are not direct employees.

Businesses should also avoid separating training from their wider AI governance processes. AI literacy works best when people understand how to use their systems appropriately and how to follow relevant internal procedures.

Conclusion

Building an AI literacy program under the EU AI Act begins with understanding how your organisation uses AI and which people interact with those systems.

Identify your AI applications, tailor learning measures to relevant roles, connect training to real-world risks, and maintain records that support ongoing governance.

Article 4 allows organisations flexibility in how they approach AI literacy, but that flexibility does not remove the obligation to take appropriate measures.

For businesses managing several AI systems, integrating AI literacy with risk assessment, documentation, and governance can help create a more consistent approach.

Explore AnnexOps AI Compliance Software to learn how AI compliance activities can be organised within a broader governance workflow.

Location: Marienburger Str. 14A, 10405 Berlin, Germany

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