Published on
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.
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.
What Is the EU AI Act?
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.
One Requirement Every Organization Using AI Should Understand
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.
What Does "AI Literacy" Actually Mean?
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.
Why AI Literacy Has Become a Compliance Issue
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.
