Education and AI: The Ban is an Illusion

AI Becomes Part of Students' Daily Lives

The National Education Ministry recently announced the establishment of a Committee for Anticipation in Education and the introduction of a dedicated program for artificial intelligence. This initiative underscores an undeniable reality: AI is already deeply embedded in students' daily lives. It has integrated massively and discreetly, without waiting for the official approval of educational institutions.

Generative AI tools have become allies for students, who use them to rephrase lessons, summarize texts, produce assignments, or structure their thoughts. This usage is no longer a question of the future, but a current reality in schools and universities.

AI as a Time Accelerator

Recent research shows that students do not turn to AI primarily to deepen their knowledge or improve their skills. Their main motivation is time-saving. AI acts as an accelerator, but this can come at the expense of intellectual effort. The real danger is not so much cheating, but rather a shift towards a confusion between production and learning, between efficiency and true mastery of knowledge.

Two Opposing Approaches to AI

In response to this situation, two reactions are emerging. The first is to want to ban, control, and sanction the use of AI. The second, more demanding but also more realistic, involves organizing its use, defining its limits, and establishing educational objectives.

The idea of a total ban is an illusion. AI is already present, accessible, and integrated into students' practices. Trying to eliminate it would mean ignoring the problem without solving it, while widening the gap between students' real practices and school frameworks. This could also harm international competitiveness.

The Example of Pioneer Countries

Some countries have chosen a different approach. In Estonia, for example, the introduction to computational thinking and understanding algorithms is integrated from primary school. Many Nordic, Anglo-Saxon, and even Chinese educational systems view AI as a skill to be mastered rather than a threat to be contained.

Failing to equip students to face these technologies would mean training a generation out of sync with emerging international standards. The question is not whether AI should be used, but how and for what educational purpose.

Reevaluation of Assessment Methods

One of the most significant impacts of AI concerns assessment. Homework is becoming increasingly difficult to evaluate, not because students are cheating more, but because part of their output may be assisted, transformed, or optimized by automated tools.

This evolution could lead to a return of in-class written exams, time-limited reasoning, and personal demonstration. This is not out of nostalgia, but out of pedagogical necessity. When the process is hard to observe, the result becomes central again.

Increased Responsibility for Students

This change implies increased responsibility for students. Less surveillance and constant suspicion, but a stronger demand for the quality of reasoning and the ability to mobilize their knowledge independently.

The Crucial Role of EdTech

In this context, EdTech plays a crucial role. They can either encourage a circumvention logic, producing faster with less effort, or take on a clear pedagogical responsibility: helping students learn better with AI, without replacing it.

When used intelligently, AI can structure thought, clarify reasoning, facilitate synthesis, or prepare a demonstration—essentially saving time. When misused, it becomes a crutch that weakens analytical and autonomous capabilities in the long term.

Moving Beyond the False Debate

AI reveals the fragilities of the educational system: confusion between recall and understanding, difficulty in assessing real competencies, and sometimes an excessive focus on volume rather than mastery. Addressing these issues through prohibition would be a simplistic response to a structural problem.

AI will not necessarily impoverish minds, but it will not elevate them either without a clear and demanding collective choice. Recent initiatives are moving in the right direction, provided they do not limit themselves to a symbolic or defensive response.

The real challenge now is pedagogical: to train students capable of understanding these tools, fully mastering their use, and grasping their limits. Not to follow a trend, but to avoid a lasting disconnect between school, students' real practices, and emerging international standards.

Training students to think with AI, but also without it, requires a clear framework, accepted uses, and renewed demands. This is an educational challenge, but also a social and democratic one.