Insights
AI Literacy: What Does It Mean?
Quick access:
- What is AI Literacy?
- Why is AI Literacy Important?
- AI-Literacy and the AI Act
- What Should Employees Know About AI?
- How Can Organizations Get Started?
AI is becoming increasingly accessible. Employees use tools such as ChatGPT and Microsoft Copilot to create content, summarize information, perform analyses, and make everyday tasks more efficient. At the same time, AI is increasingly becoming part of existing business software.
But having access to AI does not automatically mean that employees know how to use it responsibly.
When can you rely on the output of an AI system? What information can you safely enter? Which risks should you be aware of? And when is human oversight necessary?
This is where AI literacy comes in. And with the European AI Act, it has become an important topic for organizations using AI.
What is AI Literacy?
AI literacy refers to the knowledge and skills people need to use AI systems in an informed and responsible way.
This does not mean that every employee needs to understand exactly how an AI model works from a technical perspective. What someone needs to know depends on their role, experience, and the AI systems they work with.
For someone using generative AI to support content creation, for example, it may be important to understand that AI can generate convincing but incorrect information and that confidential information should not simply be entered into every AI tool.
An employee using AI as part of a process that can have greater impact on customers or employees may need more specific knowledge about risks, human oversight, and the system they are working with.
AI literacy is therefore not about establishing the same level of AI knowledge across an entire organization. It is about making sure people understand enough about the AI they work with to use it appropriately.
Why is AI Literacy Important?
AI tools are becoming increasingly easy to use. This lowers the barrier for employees to start working with AI, but it also means that they can use these systems without always fully understanding their capabilities, limitations, and risks.
AI-literate employees are better able to assess when AI can add value, what information they can safely use, and when AI-generated output requires additional review.
AI literacy therefore goes beyond compliance. It can also help organizations get more value from AI. When employees understand what an AI system can and cannot do, they can use the technology more purposefully and effectively.
At the same time, the AI Act has made AI literacy a specific responsibility for organizations that provide or deploy AI systems.
AI Literacy And The AI Act.
AI literacy is specifically addressed in Article 4 of the European AI Act.
“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, taking into account their technical knowledge, experience, education and training and the context the AI systems are to be used in, and considering the persons or groups of persons on whom the AI systems are to be used.”
— Article 4, Regulation (EU) 2024/1689
Since 2 February 2025, providers and deployers of AI systems have been required to take measures to support AI literacy among employees and other people dealing with the operation and use of AI systems on their behalf. Since 3 August 2026, the rules on supervision and enforcement have also become applicable.
Organizations should take into account factors such as:
- The technical knowledge and experience of employees;
- Their education and training;
- The context in which AI systems are used;
- The people or groups on whom those AI systems are used.
This obligation is not only relevant to organizations that develop AI systems themselves. Organizations that use AI systems in their operations must also assess which measures are appropriate for the people working with these systems.
Importantly, the AI Act does not require every employee to achieve the same predefined level of AI literacy. Nor does it prescribe a specific course, a fixed number of training hours, or a mandatory certificate. Organizations should take measures that are appropriate to their employees, their use of AI, and the context in which those systems are deployed.
Want to learn more about the broader requirements and risk levels under the AI Act? Read the impact of the ai act on your business .
AI Literacy: More Than AI Training.
When organizations think about AI literacy, the first solution that often comes to mind is an AI training session for all employees.
Training can certainly be part of the approach, but it is not necessarily enough.
Not every employee uses AI in the same way. A marketer using AI to create a first draft of a text needs different knowledge from an HR professional working with an AI system as part of a recruitment process. Employees who develop or implement AI systems may require a different level of knowledge again.
An effective approach therefore takes different roles, knowledge levels, and applications within the organization into account.
A general understanding of AI can provide a useful foundation. From there, organizations can determine which additional knowledge and guidance different groups need based on the systems they use and the risks involved.
What Should Employees Know About AI?
The exact knowledge required will differ between organizations and roles. However, several topics provide a useful foundation for responsible AI use.
1. Understand What AI Can and Cannot do.
Employees do not need to become AI experts, but they should understand that AI systems have limitations.
Generative AI, for example, can produce information that sounds convincing, but is incorrect. The quality of its output can also depend heavily on the information and instructions provided to the system.
Understanding these limitations helps employees determine when AI can be useful and when additional checks are necessary.
2. Handle Data Responsibly.
The ease with which information can be entered into an AI tool also creates risks.
Employees should understand which information they can and cannot share with AI systems. This may include personal data, customer information, confidential company information, or other sensitive data.
The exact rules depend on the tool being used and the guidelines established by the organization.
3. Critically Review AI Output.
AI can support employees in their work, but that does not mean its output is automatically correct or appropriate.
Employees should be able to recognize when output needs to be checked and understand their own responsibility when using AI-generated information.
The greater the potential impact of an application, the more important human oversight becomes
4. Recognize the Risks of Their Own AI Use.
Not every AI application carries the same level of risk.
Using AI to rewrite an internal text is very different from using an AI system to evaluate candidates during a recruitment process.
AI literacy therefore also means understanding the risks associated with the AI applications employees use themselves and recognizing when additional safeguards or expertise may be needed.
5. Understand the Organization’s AI Guidelines.
Finally, employees need to know which rules apply within their own organization.
Which AI tools are approved? What data can be used? When is additional approval required? And who can employees contact when they have questions about using AI?
This creates a clear connection between AI literacy and an organization’s ai policy . An AI policy provides employees with clear guidelines for using AI, while AI literacy helps them understand and apply those guidelines in practice.
Not Everyone Needs To Learn The Same Things.
An organization-wide introduction to AI can be a good starting point, but AI literacy should not become a one-size-fits-all exercise.
Instead, organizations should look at how different people actually use AI.
Employees who use AI only occasionally may need a basic understanding of its possibilities, limitations, and main risks. Frequent users may need more practical knowledge about data, reviewing AI-generated output, and the specific applications they use.
Employees working with AI applications that have a greater potential impact may require more specialized knowledge and training.
Connecting AI literacy to actual roles and use cases makes it more relevant for employees and easier to apply in their daily work.
How Can Organizations Get Started?
Improving AI literacy does not have to begin with an extensive training program.
A logical first step is to understand where AI is being used within the organization and which employees work with these systems. From there, organizations can determine what people need to know to use AI responsibly.
This could include:
- Basic AI education for employees working with AI;
- Additional training for specific roles or applications;
- Practical guidelines and examples from within the organization;
- Clear information about approved tools and appropriate data use;
- A clear point of contact for questions about AI;
- Regular updates as tools, applications, and regulations evolve.
The key is to connect AI literacy to practice. A general presentation explaining what AI is has limited value if employees still do not know what responsible AI use means for the systems they work with every day.
AI Literacy As Part Of Responsible AI Use.
AI literacy is ultimately about more than complying with the AI Act.
As AI becomes a larger part of everyday work, employees need to understand how to use the technology responsibly and effectively.
That does not mean everyone needs to become an AI expert. People do, however, need enough knowledge to make use of the possibilities of AI, recognize its limitations and risks, and understand when human oversight is required.
A clear ai policy provides employees with the guidelines. AI literacy helps them understand how to work within those guidelines.
Together, they provide an important foundation for using AI responsibly and effectively across the organization.
Ready to Take Control of AI Within Your Organization?
Do you want to gain more control over the use of AI within your organization, or do you need support with AI Act compliance?
Squadra helps organizations navigate the rapidly changing AI landscape. We support you in developing clear strategies and provide practical guidance to help you use AI responsibly and effectively.
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