EU AI Act: AI Literacy Requirements Explained

Artificial intelligence has quickly moved from an emerging technology to an everyday business tool. Employees across marketing, sales, finance, HR, engineering, customer service, and other functions are using AI to research, create content, analyze information, automate tasks, and make decisions.

Direct answer: The EU AI Act's AI literacy requirement (Article 4 of Regulation (EU) 2024/1689) requires providers and deployers of AI systems to take measures to ensure a sufficient level of AI literacy among their staff and others who operate or use AI systems on their behalf. It has applied since 2 February 2025, and it reaches any organization that uses AI in connection with the EU market, not only the companies that build AI.

The European Union has responded to that rapid adoption with the EU AI Act, a comprehensive regulatory framework for artificial intelligence. While much of the conversation around the Act has focused on organizations that build AI systems, its implications extend much further.

If your organization uses AI, the EU AI Act may create responsibilities for you, too.

One of the most important, and potentially overlooked, is AI literacy.

Key Takeaways

• What it is: AI literacy is an obligation under Article 4 of the EU AI Act (Regulation (EU) 2024/1689), not an optional best practice.

• Who it applies to: Providers and deployers of AI systems, covering their employees and other people who operate or use AI on their behalf.

• Since when: The AI literacy obligation has applied since 2 February 2025; the Act itself entered into force on 1 August 2024.

• No single mandated course: The Act does not prescribe one universal training or certification. Organizations tailor literacy to people's knowledge, experience, and how AI is used.

• What literacy covers: How AI works, its limitations, data and privacy risks, bias and ethics, and responsible use.

• Why it matters beyond compliance: An AI-literate workforce makes better decisions about when to trust AI output and what information to share.

What Is the EU AI Act?

The EU AI Act is the European Union's comprehensive, risk-based law for artificial intelligence (Regulation (EU) 2024/1689). It sets common rules for how AI systems are developed, provided, and used across the EU, and like the GDPR it can apply to organizations based outside Europe.

The EU AI Act establishes a common regulatory framework for artificial intelligence across the European Union. Its goal is to support innovation and an open AI market while protecting health, safety, and fundamental rights.

Like the GDPR, its reach isn't limited to companies headquartered in Europe. Organizations outside the EU can fall within its scope depending on how their AI systems are provided, deployed, or used in connection with the EU market.

The Act takes a risk-based approach. Different requirements apply depending on the type of AI system and the risks associated with it. It addresses areas including prohibited AI practices, high-risk AI systems, general-purpose AI models, transparency, governance, and AI literacy.

The regulation entered into force on August 1, 2024, with requirements becoming applicable in stages. Prohibited AI practices and AI literacy obligations began applying on February 2, 2025, while many additional provisions became applicable in August 2026.

For organizations, that means the EU AI Act isn't simply something to put on a future compliance roadmap. Important obligations are already here.

EU AI Act AI Literacy at a Glance

One Requirement Every Organization Using AI Should Understand

That requirement is AI literacy. Article 4 of the EU AI Act requires providers and deployers to make sure the people operating and using AI on their behalf have the knowledge to use it appropriately, regardless of job title.

Article 4 of the EU AI Act addresses something much broader than the technology itself: the people using it.

Providers and deployers of AI systems must take measures to support the development of AI literacy among employees and others who operate or use AI systems on their behalf.

That matters because AI use is no longer confined to developers or data scientists.

Think about how AI is already being used across a typical organization:

• A marketer asks an AI assistant to create campaign copy.
• A salesperson summarizes customer information using AI.
• An HR employee uses an AI-powered recruiting application.
• A finance team uses AI to analyze business data.
• An employee provides information to a generative AI assistant to help complete a task.
• A manager uses AI-generated analysis to inform a business decision.

Those employees don't necessarily need to understand how to build an AI model.

They do need to understand what AI can and cannot do, the risks associated with using it, and how to use it appropriately in the context of their jobs.

That's the challenge AI literacy is intended to address.

For a deeper look at why workforce access to AI tools is not the same as workforce capability, see our related post on what corporate AI training must actually accomplish.

What Does "AI Literacy" Actually Mean?

AI literacy means having the knowledge and skills to use AI responsibly in your role. Under the EU AI Act there is no single required course; instead, organizations tailor literacy to people's knowledge, experience, and the context in which AI is used.

The EU AI Act doesn't mandate one universal course or certification that every employee must complete.

Instead, organizations should consider factors such as people's technical knowledge, experience, education and training, as well as the context in which AI systems are being used.

That means checking a box with the same generic AI awareness video for every employee may miss the point.

Organizations should instead think about whether their people have the knowledge and skills necessary to use AI appropriately.

That can include understanding:

How AI works. Employees don't need to become machine-learning engineers, but they should understand fundamental concepts about AI and generative AI, including how these systems produce their outputs.

AI's limitations. AI-generated information can be inaccurate, incomplete, biased, or misleading. Employees need to know when AI output requires verification and when human judgment must take precedence.

Data and privacy risks. What information is appropriate to provide to an AI system? Employees need to understand the implications of entering sensitive, confidential, personal, or proprietary information into AI tools.

Bias and ethics. AI systems can reflect biases in their training data, design, and implementation. Employees need the ability to recognize situations where AI use could create fairness or ethical concerns.

Responsible use. Employees need to understand the organization's expectations for when and how AI should and shouldn't be used.

Ultimately, AI literacy isn't simply about knowing what artificial intelligence is. It's about knowing how to work with AI responsibly.

Data and privacy risk is a common blind spot. Our guide to the 5 types of data you should never share with AI is a practical starting point for this part of literacy.

Why AI Literacy Has Become a Compliance Issue

AI literacy is now a compliance issue because the EU AI Act makes it a legal obligation, and because policies and controls only work when the people using AI understand them, much like cybersecurity awareness.

For years, organizations have invested in cybersecurity awareness because technology alone cannot eliminate security risk. Employees need the knowledge to recognize threats and make safer decisions.

AI creates a similar challenge.

Organizations can establish AI policies, approve specific tools, implement technical controls, and create governance structures. But those measures are only as effective as the people making decisions about AI every day.

An employee who doesn't understand AI's limitations may trust an incorrect answer.
Someone who doesn't understand data risks may provide sensitive information to an inappropriate AI service.

A manager who doesn't understand bias may rely too heavily on AI output when making decisions affecting people.

The EU AI Act recognizes that effective AI governance requires more than technology and policies. It requires people who understand the technology they're using.

Organizations need a way to demonstrate that they are taking appropriate measures to build that understanding.

How Security Journey Can Help

Security Journey's EU AI Act training solution is designed to help organizations understand the regulation and prepare their workforce to meet its AI literacy expectations.

The training brings together two complementary learning paths.

EU AI Act Readiness helps learners understand the regulation itself, including its purpose and scope, prohibited AI practices, high-risk AI systems, general-purpose AI, governance, and approaches to demonstrating compliance.

AI Literacy Compliance focuses on the people using AI throughout the organization. It provides practical education around:

• AI literacy and the EU AI Act
• AI fundamentals and how generative AI assistants work
• How AI systems are trained<
• Effective prompting
• Evaluating and handling AI-generated output
• AI drift and reliability
• Security and privacy
• Bias and ethical considerations
• Responsible AI use

Together, the training helps organizations address two important questions:

What does the EU AI Act require of our organization?

And:

Do our people understand how to use AI responsibly?

The goal isn't to turn every employee into an AI expert. It's to give organizations a practical way to build a more AI-literate workforce while helping address their responsibilities under the EU AI Act.

Compliance Is Only Part of the Opportunity

There is an obvious reason to invest in AI literacy: regulation.

But compliance shouldn't be the only reason.

Organizations are encouraging employees to find ways to become more productive with AI. At the same time, they are discovering that giving employees access to AI without giving them the knowledge to use it effectively introduces new risks.

AI literacy helps close that gap.

A workforce that understands AI can make better decisions about when to use it, how much to trust its output, what information to share with it, and when human judgment is required.

That makes AI literacy more than another compliance requirement. It becomes part of building an organization that is actually prepared to use AI.

Is Your Organization Ready?

The EU AI Act is changing what responsible AI adoption looks like.

Organizations need to understand which requirements apply to them, but they also need to consider something much more immediate: Do the people using AI throughout the organization understand how to use it responsibly?

Article 4 makes AI literacy a regulatory consideration. The rapid adoption of AI makes it a business imperative.

Security Journey's EU AI Act training can help organizations understand their responsibilities, build AI literacy across their workforce, and prepare their people to use AI more responsibly.

Learn more about Security Journey's EU AI Act training and how it can help prepare your organization for the next era of AI.

Frequently Asked Questions

What is the AI literacy requirement in the EU AI Act?

It is the obligation, set out in Article 4 of the EU AI Act (Regulation (EU) 2024/1689), for providers and deployers of AI systems to take measures to support a sufficient level of AI literacy among their staff and other people who operate or use AI systems on their behalf.

Who must comply with the EU AI Act AI literacy requirement?

Providers and deployers of AI systems must comply. The obligation covers their employees and others who operate or use AI on the organization's behalf, so it reaches organizations that merely use AI, not only those that build it. Like the GDPR, it can also apply to organizations based outside the EU depending on how their AI systems connect to the EU market.

When did the EU AI Act AI literacy obligation take effect?

The AI literacy obligation has applied since 2 February 2025. The EU AI Act itself entered into force on 1 August 2024, with other provisions becoming applicable in stages, including many in August 2026.

Does the EU AI Act require a specific AI literacy course or certification?

No. The Act does not mandate one universal course or certification. Organizations are expected to consider people's technical knowledge, experience, education and training, and the context in which AI is used, then provide literacy that fits those factors.

What should AI literacy training cover?

Effective AI literacy typically covers how AI works, its limitations, data and privacy risks, bias and ethics, and the organization's expectations for responsible use. The aim is for people to know when to verify AI output, what information is safe to share, and when human judgment should take precedence.