Artificial intelligence in the auction: Why is GDPR becoming more important than ever?

To understand the scale of the challenge, we need to realize the fundamental difference between traditional software and AI tools. When we used a word processor installed on a school computer, the data remained in our ecosystem. When a teacher uses a publicly available, free AI tool to generate a lesson plan or personalize an assignment, this data is often sent to external servers where it can be used to “train” the model.

To put it simply, every interaction a student has with certain AI systems is like giving away a piece of their digital DNA for the development of a powerful, global technology. Texts entered, questions asked, mistakes made – all this becomes training data. The risks of AI at school are therefore not only related to the risk of data leakage in the traditional sense. They are much more subtle and address the very essence of how the machine learns from our children. Therefore, the role of the CEO as a data gatekeeper is becoming a mission-critical today.

AI Threats at School: What You Don’t See at First Glance?

Effective protection requires an understanding of the nature of the risk. It’s not just about the student’s name. It’s about behavioral data, which is invaluable to algorithms. Let’s identify three main areas of risk.

Invisible collection of behavioral data

When a student works with an adaptive math learning platform, the system doesn’t just record their score. It records how much time they spent on each task, what mistakes they make most often, what times of the day they are most productive, and even (in some cases) how fast they move the mouse, which can be an indicator of frustration or engagement. These are extremely sensitive data that create a detailed psychological and cognitive profile of the child. The impact of AI on a child’s development can be huge, and we, as a school, need to make sure that this data is used only for educational purposes and not for commercial or profiling purposes.

Algorithmic Bias and Risk of Discrimination

AI models learn from data created by humans, and thus duplicate human biases. If the essay grading system has been trained mainly on texts written by one social group, it may rate the work of students using a different language style or coming from different cultural backgrounds lower. A teacher, unaware of this mechanism, may trust an “objective” evaluation of the machine, not realizing that the algorithm is making subtle discrimination. This is one of the most serious ethical dilemmas of AI, which requires us to constantly think critically about technology.

Lack of transparency and control over data

Most free AI tools work on a “black box” basis. We upload data (prompt), we get the result (generated text), but we don’t know what exactly is happening inside, where this data is stored and who has access to it. Privacy policies are often long, complicated, and do not provide clear guarantees of compliance with the European GDPR. Remember that according to the law, it is the school (and personally – the headteacher) who is the administrator of students’ data and bears full responsibility for the selection of safe tools.

Responsible use of AI: Practical checklist for principals and teachers

Awareness of the risks is the first step. The second, more important, is to create solid, understandable procedures at school that will allow you to reap the benefits of AI, minimizing risk. In my guide “Artificial Intelligence for Schools and Teachers” , I discuss each of these principles in detail, providing specific examples and document templates. Below I present its foundation.

Rule 1: Always verify the tool before you bring it into the classroom

Before a teacher can start using an exciting new app, they have to go through a simple but mandatory verification process. The director or designated innovation coordinator should check a few key points:

• Privacy Policy: Is it clearly written where the data is stored (preferably within the EU)? Does the company declare compliance with the GDPR?
  
  
• User age: Does the tool have age restrictions that disqualify our students?
  
  
• Purpose of data collection: Does the company make it clear that the data is only used to provide the service, not for marketing purposes or to train models on an open policy?

In our AI guide for education, you will find a ready-made verification checklist and a list of recommended, safe educational tools.

Principle 2: Apply the principle of data minimization and anonymization

This is the most important daily practice for teachers. Let’s teach them never to enter students’ personal data into external AI tools. Instead of writing a prompt: “Create a math problem for John Smith from class 4b who has problems with the multiplication table”, the teacher should write: “Create a problem for a 10-year-old student who has problems with the multiplication table”. Instead of pasting an essay with your name and surname, you should first anonymize it. It’s a simple change in habits that drastically increases the level of safety.

Rule 3: Educate Instead of Ban – Create a School AI Code of Ethics

Blocking access to AI tools is ineffective and short-sighted. Instead, let’s create an AI code of ethics for students together with students. It is a document that defines the rules of the game in simple language. It should include such points as:

• “I protect my privacy”: I never give out my name, surname, address or other personal information in a conversation with AI.
• “I think critically”: I treat AI responses as suggestion or inspiration, not as the ultimate truth. I always verify key facts in other sources.
• “I’m honest”: I use AI to help myself learn, not to cheat. I clearly inform the teacher if the AI supported me in the preparation of the project.

Such a code, developed jointly, has much more power than a top-down ban. In the guide “Artificial Intelligence for Schools and Teachers” you will find a ready-made template of such a code along with a scenario of an educational lesson on this topic.

The Director as a Leader of Digital Transformation

The role of a director in the age of AI is extremely demanding. He must be both a visionary who sees great opportunities in innovation, and a pragmatic guardian who cares about fundamental security. The key to reconciling these two roles is knowledge and proactive action. The ethics of AI in education is not a burden, but a compass that allows us to safely navigate previously unknown waters. By implementing well-thought-out procedures, educating staff and students, and consciously choosing tools, we can build a school that is modern, innovative and, most importantly, safe for every child.

Do you want to equip your school with comprehensive and proven solutions?

This article outlines the most important problems and directions of action. My complete guide “Artificial Intelligence for Schools and Teachers” is a ready-made toolkit for every principal. You will find detailed legal analyses written in an accessible language, ready-to-implement consent templates for parents, tool verification procedures, training scenarios for the pedagogical council and a ready-to-adapt AI school code of ethics. It is a comprehensive support that will allow you to feel confident and competent as you lead your institution towards the future of education.

Artificial Intelligence in Schools: From Risk to Strategic Benefits

Awareness of threats and responsible implementation of GDPR principles is the foundation. But on this foundation, we can build something truly extraordinary. The ethics of AI in education is not about avoiding technology, but about using it wisely to achieve overarching pedagogical goals. When we operate on the basis of a well-thought-out security strategy, the door suddenly opens up for us to benefits that seemed like science fiction just a few years ago. It is these positive, transformative aspects that my guide “Artificial Intelligence for Schools and Teachers” focuses on – teaching how to get the best out of AI in a completely safe way.

So let’s take a look at the specific, strategic benefits of using AI responsibly in the daily work of the school – benefits for both teachers, students and the administration itself.

Benefit 1: True personalization of teaching on an unprecedented scale

This is the biggest and most frequently invoked promise of AI, which is finally becoming a reality. The traditional model of education forced the teacher to average the level, which made the talented students bored and those who needed support lost. Thanks to AI, this compromise is no longer necessary.

• How does it work safely? Using certified, closed learning platforms (indicated and discussed in detail in our guide), the teacher can create adaptive learning paths for the whole class. The system, based on anonymized data on the student’s progress, automatically adjusts the level of difficulty of the tasks. If the student is excellent at percentages, the system suggests problem tasks. If, on the other hand, he makes mistakes in one specific type of task, the platform provides him with additional video materials and simpler exercises, allowing him to catch up at his own pace. The key here is to use systems designed for education that guarantee that student progress data does not leave the safe school environment.
• What is the result? Each student works in their own “zone of closest development”. Frustration and a sense of failure disappear. Motivation and commitment increase. The teacher, instead of explaining the same thing over and over again, receives detailed reports and can devote his attention to those students who really need his direct support.

Benefit 2: Freeing up teachers’ time – Returning to the essence of pedagogy

Teachers’ burnout is one of the biggest systemic balances. It often results not from the teaching itself, but from an overwhelming number of administrative, bureaucratic and repetitive tasks. Here, artificial intelligence becomes a powerful ally for teachers , giving them their most valuable resource – time.

• How does it work safely? A teacher, trained in safe practices (which are the pillar of our guide), can use AI for tasks not directly related to students’ sensitive data. They can generate a lesson outline in a few seconds, create an email template for parents with information about the trip, prepare a list of topics for revision before the test, or find engaging video materials on a specific topic. That’s dozens of hours per month that can be recovered.
• What is the result? A teacher who has more time also has more energy and patience. He can spend this time talking to a student, preparing a creative project, individual consultations or simply resting, which is necessary to maintain his passion. This is a direct investment in the quality of relationships at school.

Benefit 3: Developing the competencies of the future – Learning to think critically

Paradoxically, technology that can generate answers is the best tool for learning how to ask questions. Instead of fighting AI, we can incorporate it into the educational process as an object of research and a tool for developing critical thinking about technology.

• How does it work safely and wisely? In a Polish or history lesson, the teacher can give students an assignment: “Ask the AI to write a short essay on ‘Is it worth reading Sienkiewicz in the 21st century?’. Next, your task is to write a review of this text. Identify its strengths, but also point out where the argument is superficial, where there is a lack of evidence, and where AI replicates popular stereotypes.”
• What is the result? Students, instead of being passive recipients of content, become active critics. They learn source analysis, fact-checking, and argumentation. They are beginning to understand that AI is a powerful but imperfect tool whose results cannot be trusted thoughtlessly. This is real media and digital education that prepares them for life in an information-saturated world. Creating an AI code of ethics for students, which we discuss step by step in our guide, is a key element here.

Benefit 4: Breaking down barriers and levelling the playing field

AI has remarkable potential to democratize access to knowledge and support for students with special educational needs.

• How does it work safely? A dyslexic student, using school-approved software, can turn any text (e.g. a reading) into an audiobook with one click. A student with a language barrier can receive real-time translation support. When preparing materials, the teacher can ask the AI to simplify a complex scientific text to a level of comprehensibility for a student with learning difficulties. All this happens within the framework of safe, school systems.
• What is the result? Technology ceases to be a barrier and becomes a bridge. Students who may have felt excluded until now receive tools that allow them to fully participate in the educational process. This is real inclusivity, supported by wisely implemented innovation.

Conclusion: Our guide as your guide to a safe AI world

As you can see, artificial intelligence in schools is not a choice between innovation and safety. With the right approach, these two values reinforce each other. The key is knowledge, awareness and having proven procedures – i.e. everything that is the core of my original guide.

You don’t have to be a tech expert or a lawyer to safely and effectively run your school in the age of AI.

The “Artificial Intelligence for Schools and Teachers” guide was created precisely to take this burden off your shoulders. It is a practical guide that translates complex issues into simple, understandable language and provides ready-to-implement solutions. You will find not only a discussion of the risks and principles of the GDPR, but above all hundreds of inspiring ideas on how to use the potential of AI in a creative, ethical and lawful way. This is your roadmap to building the school of the future – innovative, effective and, most importantly, safe for every student.