EU AI Act Article 4: AI Literacy Requirements for Every Organisation

What Article 4 Requires

Article 4 of Regulation (EU) 2024/1689 establishes a universal AI literacy obligation. It states that 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 obligation takes into account the technical knowledge, experience, education, and training of those persons, as well as the context in which the AI systems are to be used.

The word "universal" is significant here. Unlike most other obligations in the EU AI Act, Article 4 is not limited to high-risk AI systems. It applies to any organisation that provides or deploys any AI system, regardless of its risk classification. A company using a simple AI-powered chatbot for customer service faces the same literacy obligation in principle as one deploying a high-risk AI system for credit scoring.

The obligation becomes applicable on 2 August 2025, alongside the GPAI model provisions. This makes it one of the earlier compliance deadlines and one that many organisations may overlook while focusing on the more prominent high-risk system requirements.

Who Must Comply

Article 4 addresses two categories of organisations: providers (those who develop or place AI systems on the market) and deployers (those who use AI systems under their authority). Both categories carry the literacy obligation independently.

The scope of persons covered extends beyond direct employees. The regulation refers to "staff and other persons dealing with the operation and use of AI systems on their behalf." This language captures contractors, consultants, temporary workers, and potentially board members or senior management who make decisions about AI deployment.

For providers, the obligation means that development teams, product managers, quality assurance personnel, and customer-facing staff must understand the AI systems they build, maintain, and support. For deployers, it means that end users, supervisors, and decision-makers who rely on AI outputs must have adequate understanding of how the system works, its limitations, and the appropriate level of reliance to place on its outputs.

What Sufficient AI Literacy Means

The regulation deliberately does not prescribe a specific curriculum, certification, or format for AI literacy. Instead, it applies a proportionality principle. The required level of literacy depends on the technical knowledge of the individuals involved, the context in which the AI system is used, and the persons who are affected by the AI system.

For a software developer working on a high-risk AI system, sufficient literacy would include a deep understanding of machine learning principles, data governance requirements, bias detection methods, and the specific regulatory requirements of the EU AI Act. For a human resources manager deploying an AI-powered screening tool, sufficient literacy might focus on understanding what the tool does and does not do, recognising situations where the output may be unreliable, and knowing when and how to override or escalate decisions.

The proportionality approach means there is no one-size-fits-all compliance solution. Organisations must assess the roles and responsibilities of each group of persons interacting with AI systems and design literacy programmes accordingly.

Implementing an AI Literacy Programme

While the regulation does not mandate specific training formats, organisations should consider a structured approach to demonstrating compliance. A practical AI literacy programme typically includes several components.

First, conduct a role-based needs assessment. Identify all persons who interact with AI systems in any capacity and categorise them by role type: developers, operators, decision-makers, and oversight personnel. Map the AI systems each group interacts with and determine the appropriate depth of understanding required.

Second, develop targeted training content. Technical staff may need training on model evaluation, data quality, and compliance requirements. Operational staff may need practical guidance on interpreting AI outputs, recognising anomalous results, and escalation procedures. Senior management and board members may need awareness-level briefings on organisational AI risk, regulatory obligations, and governance responsibilities.

Third, document everything. Although the regulation does not specify documentation requirements for Article 4 specifically, demonstrating compliance in the event of a regulatory inquiry requires evidence. Training records, attendance logs, assessment results, and programme updates should be maintained systematically.

Fourth, review and update regularly. AI literacy is not a one-time training event. As AI systems evolve, as new systems are deployed, and as regulatory guidance develops, literacy programmes must be updated to remain relevant and effective.

Board-Level Awareness

AI literacy is not solely an operational concern. Board members and senior executives who approve AI deployment strategies, allocate resources for AI projects, or bear ultimate responsibility for regulatory compliance must themselves possess an appropriate level of AI literacy.

This does not mean every board member needs to understand neural network architectures. It does mean they should understand what AI systems the organisation uses, what risks those systems present, what regulatory obligations apply, and what governance structures are in place to manage AI-related risks. A board that approves AI investments without understanding the compliance implications is a board that may be found to have insufficient literacy under Article 4.

Many organisations are establishing AI governance committees or designating board-level AI oversight responsibilities. These structures support both compliance with Article 4 and broader organisational risk management.

Enforcement and Practical Implications

Failure to comply with Article 4 may result in administrative fines under Article 99 of the regulation. While the fines for Article 4 violations are lower than those for prohibited practices or high-risk system violations, they remain significant and the reputational impact of a literacy-related enforcement action should not be underestimated.

From a practical standpoint, Article 4 compliance also supports compliance with other provisions of the regulation. Staff who understand AI systems and their limitations are better equipped to fulfil human oversight obligations (Article 14), report serious incidents (Article 73), and conduct meaningful fundamental rights impact assessments (Article 27). Investing in AI literacy is therefore not only a standalone compliance requirement but a foundation for the entire AI governance framework.

Organisations that treat Article 4 as a box-ticking exercise risk both regulatory exposure and operational failures. Those that invest in genuine understanding across all levels of the organisation build a stronger foundation for responsible AI use.

This article is for informational purposes only and does not constitute legal advice. Regulatory requirements change frequently — verify current rules with official sources. Built by Sawai Gyoseishoshi Office, Hiroshima, Japan.