Algorithmic concerns in the atmosphere of adolescence

We are doing a lot of categorising of boys at the moment.

There are good reasons for to be concerned. Conversations about boys, masculinity, misogyny and violence are no longer confined to academic papers or parenting forums. They are happening in schools, staffrooms and homes. We are hearing more about misogynistic language, intimidation and the influence of the online manosphere in the lives of young people. There are legitimate concerns that some online spaces exploit the insecurities of adolescence, offering boys a distorted account of masculinity and drawing some towards increasingly hostile ideas about women.

These things matter.

We cannot minimise violence against women. We cannot dismiss misogyny as adolescent humour, nor can we ignore the cultural environments in which attitudes about domination, entitlement and violence are formed. There is growing evidence of an association between misogynistic attitudes and susceptibility to violent and extremist ideologies.

But there is another question that sits alongside these concerns.

What happens when legitimate concern becomes a category?

When some boys are being drawn towards violent ideas quietly becomes boys are violent?

When boys need to learn about respectful relationships becomes boys are a problem requiring correction?

This is where the logic of the algorithm becomes interesting.

Algorithms love categories. Categories make prediction possible.

Male. Adolescent. Watches this content. Uses these words. Engages with these accounts. Belongs to this demographic.

Risk increases. Prediction follows.

There is an efficiency to this. Perhaps even, at times, a necessity. We recognise patterns because patterns can tell us something important.

But human beings are not datasets and boys are not a problem category.

There is a strange irony in the present moment. Having spent generations challenging the reductive categories through which women have been understood, we should be careful not to construct another reductive story about boys. Violence is disproportionately gendered. That truth matters. But it is not the whole truth about boys.

A boy can be angry without being violent. He can be confused without being dangerous. He can be masculine without being domineering, vulnerable without being weak. He can encounter appalling ideas online and reject them. He can repeat something he has heard and later come to understand that it does not represent the person he wants to be.

That last possibility matters enormously.

Because adolescence is, almost by definition, unfinished.

It is a time of experimentation and contradiction, of trying on identities and discarding them, of saying things before fully understanding their weight. It is a period in which formation is still occurring and the person is still becoming.

Algorithms, however, are built from what has already been. They examine the past in order to predict the future. They are extraordinarily good at saying: people like you, who have behaved like this, tend to do something like that next.

Christianity makes a far more audacious claim. It says that who you have been does not exhaust who you can become. And this is why the algorithm matters. Algorithms do not merely recognise categories. Left unchecked, they can reinforce them. They gather patterns from the past, sort people according to those patterns, and then use those classifications to anticipate what happens next. Repetition begins to look like inevitability. This is frightening when applied to people, useful when we are talking about traffic, weather or consumer behaviour, far more troubling when we are talking about human beings.

A category can begin as a description and quietly become a destiny.

Boy.

Angry.

Disengaged.

At risk.

Violent.

Each word may contain something true. But stacked together, they can create a story so persuasive that we stop seeing the person inside it. Perhaps this is one of the deepest theological problems with algorithmic thinking. It is very good at asking what is likely. Christianity is far more interested in what is possible.

The algorithm works from precedent. It asks what people like this have done before and calculates what they are likely to do next. Grace refuses to be constrained by precedent. Grace makes room for interruption. For repentance. For conversion. For growth. For contradiction. For the possibility that a human being might not follow the trajectory assigned to them.

Perhaps this is one of the places where our humanity most stubbornly resists categorisation. Not because patterns are meaningless. Not because wrongdoing should be ignored. But because no pattern, however compelling, is entitled to have the final word.

So what can Christian theology offer this conversation?

Christian theology begins with a claim that is both simple and profound: every human being bears the image of God. That does not mean every action is good. It does not make wrongdoing excusable or consequences unnecessary. It means something more demanding than that. It means no action, no failure, no pattern of behaviour and no category can ever contain the whole truth of a person.

That matters profoundly in conversations about boys, violence and misogyny.

Theology does not ask us to minimise harm. Quite the opposite. It requires us to name harm truthfully. Violence is violence. Misogyny wounds both the person against whom it is directed and the person whose humanity is diminished by participating in it. Sin matters because people matter. But Christianity refuses the movement from you have done something wrong to wrong is what you are.

There is an enormous theological distance between those two statements.

Christian tradition has always had a language for the possibility that a person can be held accountable for what they have done without being imprisoned by it.

Repentance.

Conversion.

Reconciliation.

Grace.

These are not sentimental words. Repentance requires truth. Reconciliation requires responsibility. Forgiveness does not pretend that something did not happen. Grace does not erase consequences. But none of these ideas makes any sense at all unless we believe that human beings are capable of change. And perhaps this is one of the most important things Christian theology can offer an increasingly algorithmic culture.

The future is not merely an extrapolation of the past.

A boy who has absorbed misogynistic ideas is not therefore destined to become a violent man. A person who has caused harm is not beyond moral transformation. A pattern may tell us something significant, but it can never tell us everything.

Christianity, after all, is filled with people who fail to follow the prediction.

Peter denies Jesus and becomes a leader of the early Church.

Paul persecutes Christians and becomes an apostle.

Zacchaeus exploits others and then chooses restitution.

Again and again, Scripture gives us people whose futures could never have been reliably calculated from their pasts. Their history is not erased, but neither is it allowed to become destiny. Perhaps this is where theology interrupts the algorithm.

The algorithm asks:

Given what this person has done, what are they likely to do next?

The Gospel asks something altogether different:

Who might this person yet become?

An algorithm can identify patterns.

It can predict behaviour.

It can rank risk.

It can remember what you did.

But it cannot decide to love you anyway.

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