AI Literacy Training Under Article 4: What Organisations Need to Know

AI is now part of everyday business operations, from marketing and recruitment to software development, analytics, and decision-making. As AI adoption grows, organisations also need to understand their responsibilities under the EU AI Act.

One important requirement is Article 4, which addresses AI literacy.

What Does Article 4 Require?

Article 4 requires providers and deployers of AI systems to take measures to support AI literacy among their staff and people operating or using AI systems on their behalf.

Organisations should consider:

• Technical knowledge and experience
• Education and previous training
• The AI system's context of use
• People or groups affected by the system

AI literacy should therefore be role- and context-specific, rather than identical for everyone.

Who Needs AI Literacy?

The requirement can apply to people across an organisation, including HR, marketing, finance, customer support, product, IT, engineering, and management teams. Contractors and service providers may also be relevant.

A useful starting point is:

AI systems → Users → Roles → Use cases → Risk context → Literacy needs

What Should Training Cover?

Article 4 does not prescribe one mandatory training format. A practical Ai literacy training approach can cover:

AI basics: How AI systems work, their capabilities, limitations, and risks.

System risks: Issues such as inaccurate outputs, hallucinations, confidentiality, personal data, and human review.

Role-specific guidance: Developers, HR teams, managers, and other users may require different knowledge.

Governance: Internal AI policies, responsible use, legal responsibilities, and escalation processes.

Does Everyone Need the Same Training?

No. A risk- and role-based approach is more practical.

Marketing employees using generative AI may need guidance on reviewing outputs and protecting confidential information. HR teams using AI recruitment software may need stronger guidance on human involvement and handling AI outputs. People working with high-risk AI systems may require more specialised knowledge.

Managing AI Literacy

AI literacy becomes easier to manage when connected to AI governance and compliance operations:

AI systems → Roles → Users → Risk context → Literacy measures → Training records

Organisations can identify relevant users, determine their literacy needs, provide appropriate training or guidance, and maintain supporting records.

Connecting AI Literacy With AI Compliance

AI literacy does not have to remain in a separate HR spreadsheet or training folder. Connecting it with AI risk assessment, governance, documentation, and compliance evidence can create a clearer workflow.

AnnexOps is AI compliance software designed to support AI compliance and governance operations. Its AI Literacy & Training Tracker helps organisations manage AI literacy activities alongside their wider compliance workflow.

Organisations can also explore the detailed guide on AI Literacy Training Under Article 4.

AI Literacy as Part of AI Governance

AI literacy should evolve when organisations introduce new AI systems, change use cases, or assign new people to operate them.

Connecting AI inventory, risk assessment, role mapping, targeted guidance, and training records can help make AI literacy an ongoing governance activity rather than a one-time course.