Ahmed Messaoudi · Essay

Thinking Against the Algorithm

Three lines of action for helping young people build a healthier relationship to the digital world and protect their mental well-being.

Thinking with AI  ·   ·  3-5 min read

The relationship young people maintain with the digital world can be neither repaired by nostalgic rejection nor entrusted to blind technophilia. The path is more demanding: to build, patiently and collectively, a form of responsible digital autonomy. That means acting on three fronts at once, cognitive, psychological and social, because the problem itself is three times larger than we usually admit.

The digital world has become a total social fact, in Mauss’s sense: it profoundly transforms the conditions of learning, cognitive development and the educational relationship. It has generated a form of anomie marked by the loss of former points of reference and by alarming effects on mental health: anxiety, depression, sleep disorders, cyberbullying, disinformation. To respond to this, school cannot confine itself to regulating uses. It must also rethink itself.

Axis 1. Cultivating critical thought and intellectual autonomy

The first challenge is cognitive. Generative AI tends to homogenise thought by producing answers that converge towards a statistical consensus: the weighted average of what has already been said, never the singularity of what still remains to be thought. Faced with this, pedagogy must become an act of active resistance.

That begins with digital metacognition: teaching pupils to observe themselves in interaction with technologies, to examine their own practices and analyse the effects those practices have on attention, mood and relationships. It is a critical distance from their personal relation to the digital world, not a moral posture but a competence.

Media and information literacy must go beyond the simple verification of sources. The real issue is to understand how information is constructed, how algorithms function, and how cognitive biases shape perception. School must help students maintain a stable relation to reality in the face of informational overload.

Intellectual effort must be valued against the apparent ease of cognitive delegation. What AI gains in speed, the student risks losing in depth.

We must also teach epistemology, the methods of knowledge, not only its results. Students need to learn to distinguish correlation from causation, to evaluate the reliability of a source, and to recognise the conditions under which a scientific fact is established. The growing suspicion directed at science within our digital environments is not a marginal phenomenon. It calls for a deep educational response.

Axis 2. Defending biological time against algorithmic time

The second challenge is physiological. Algorithmic time is instantaneous, hyperactive, without friction. Biological time, the time of sleep, maturation and deep attention, has its own rhythms, rhythms that cannot be compressed. When the two collide, it is always the latter that gives way. And young people are the ones who pay the price.

Sleep debt is an invisible crisis with devastating consequences for attention, memorisation and emotional regulation. Making pupils and families aware of the neurobiological stakes of sleep is not secondary; it is a condition of learning. School must promote rituals of disconnection and a digital hygiene before bedtime.

Faced with permanent connection and absent presence, being physically there while mentally elsewhere, school must deliberately create spaces of voluntary disconnection. Dedicated areas, transitional micro-rituals at the start of lessons, institutionalised screen-free times built around manual activity, reading or sport. Not as punishment, but as reconquest.

Education in empathy becomes urgent at a moment when the screen anaesthetises our awareness that behind every profile there is a human being. Moral responsibility extends to all interactions, whether face to face or mediated. That is what must be taught, not only how not to harass, but why it matters on a felt human level.

Axis 3. Rebuilding the common world

The third challenge is social and political. Algorithmic personalisation atomises: it locks each person into a bubble adjusted to their preferences and deepens inequalities between those who know how to decode these mechanisms and those who surrender to them. School must reaffirm its role as a place where a new solidarity can be built.

That means resisting the temptation of a wholly personalised model of education. School must deliberately preserve spaces of common experience, shared contents, shared problems, that cut across algorithmic bubbles and maintain the conditions of democratic dialogue.

The aim is not to train efficient users. It is to form individuals capable of mastering their tools rather than being dominated by them, by cultivating attentional autonomy, free thought and authentic presence.

We must also rethink school rituals. Faced with permanent connection, the older rites that structured the psyche, created a sense of belonging and marked stages of growth have lost much of their force. New ones remain to be invented: digital rites of passage able to ritualise entry into the connected world through transitions that are thought through, prepared and collectively accompanied.

The final challenge is to preserve the essence of human learning, effort, creativity, empathy, the encounter with otherness, in order to integrate digital tools intelligently. School must become the laboratory of that lucid reappropriation, the place where technology is put at the service of a profoundly human educational project.

Read next

The Eliza Effect and AI Companions →

To situate the approach: A Digital Ethic.