AI Literacy in Education: Why Students Need More Than Digital Skills
Artificial Intelligence is no longer a distant concept linked only to laboratories, science fiction or advanced research. It is already part of everyday life. AI systems influence how people search for information, communicate, work, create content, access services and make decisions. In education, this transformation is becoming especially relevant, as schools are beginning to explore how AI can support teaching, personalise learning and help students develop the skills they will need for the future. However, the rise of AI in education also brings an important question: are students learning how to use artificial intelligence critically, ethically and creatively? Introducing AI tools into the classroom is not enough. If students only learn how to generate quick answers, summarise texts or automate tasks, they risk becoming passive users of technology. The real challenge is to help them understand what AI is, how it works, what its limits are and how it can affect people and society. This is where AI literacy in education becomes essential. From digital skills to AI literacy For many years, digital education focused on helping students use computers, online platforms and basic software. These skills remain important, but they are no longer sufficient. Today’s students are growing up in a world where algorithms shape what they see, what they read and sometimes even how opportunities are presented to them. The World Economic Forum’s Future of Jobs Report 2025 identifies AI and big data, networks and cybersecurity, and technological literacy among the fastest-growing skills for the coming years. At the same time, it highlights the continued importance of human skills such as analytical thinking, resilience, leadership and collaboration. This means that the future of education should not be reduced to technical training. Students need to understand AI, but they also need to question it. They need to learn how to use digital tools while developing creativity, judgement, empathy and responsibility. AI literacy means being able to ask questions such as: What data was used to train this system? Could this tool reproduce bias? Who benefits from this technology? What should remain a human decision? How can AI be used to support learning without replacing critical thinking? These questions are just as important as knowing how to use the tool itself. A human-centred approach to AI in education International organisations have already stressed the need for a careful and human-centred approach to AI in education. UNESCO’s guidance on generative AI in education and research calls for policies that protect data privacy, support human capacity and ensure ethical, safe, equitable and meaningful use of these technologies. This is particularly important in schools, where students’ data, learning progress and personal development must be protected. AI tools may offer opportunities for personalised learning, accessibility and educational support, but they can also create new risks if they are adopted without safeguards. UNESCO has also warned that AI and digital technologies affect access, equity, quality and governance in education. Its work on AI and the right to education highlights concerns related to privacy, bias, accountability, digital exclusion and the need to ensure that technology enhances, rather than undermines, education for all learners. In this context, AI should not be seen as a replacement for teachers. Teachers remain essential because education is not only about information. It is about guidance, trust, motivation, social interaction and human development. AI can support teaching, but it cannot replace the professional judgement and emotional intelligence that educators bring to the classroom. The European context: AI literacy as a shared responsibility In Europe, the conversation around AI literacy is also becoming more concrete. The EU Artificial Intelligence Act includes AI literacy obligations, which started to apply on 2 February 2025. Article 4 requires providers and deployers of AI systems to ensure a sufficient level of AI literacy among staff and other people dealing with AI systems on their behalf, taking into account their knowledge, experience, education and the context in which the systems are used. For schools and education stakeholders, this reinforces an important message: AI literacy cannot be left to chance. Educational communities need practical guidance, teacher training and clear frameworks to decide when, how and why AI should be used. The European Commission’s ethical guidelines on the use of AI and data in teaching and learning are particularly useful in this regard. They aim to help teachers and educational staff understand and engage in the ethical use of AI and data, while addressing the need for critical AI literacy, legal awareness and responsible classroom practices. This European approach makes one thing clear: AI in education should not only be about efficiency. It should also support inclusion, transparency, fairness and meaningful learning. Opportunities and risks in the classroom AI can offer valuable opportunities for education. It can help teachers prepare materials, adapt activities, provide feedback, support accessibility and make some administrative tasks easier. For students, it can open new ways to explore ideas, practise skills and receive personalised support. But these benefits come with risks. One of the most important concerns is data privacy. Educational AI tools may collect sensitive information about students, including learning patterns, performance, behaviour or personal inputs. Without strong safeguards, this data can be misused or exposed. Another major risk is algorithmic bias. AI systems are trained on data, and data can reflect existing inequalities. If these systems are used to guide learning paths, assess performance or recommend opportunities, biased outputs can have real consequences for students. There is also the risk of over-reliance. If students use AI only to get fast answers, they may weaken their ability to think independently, solve problems, write, research or reflect. In this sense, AI literacy should help students understand when AI is useful, when it is limited and when human judgement must come first. Why STEAM is the right framework for AI literacy AI literacy fits naturally within a STEAM education approach. Science, Technology, Engineering and Mathematics help students understand how AI systems are built, how data works and how technological solutions are developed. But the Arts and
