Article
AI
Comment
4 min read

It's our mistakes that make us human

What we learn distinguishes us from tech.

Silvianne Aspray is a theologian and postdoctoral fellow at the University of Cambridge.

A man staring at a laptop grimmaces and holds his hands to his head.
Francisco De Legarreta C. on Unsplash.

The distinction between technology and human beings has become blurry: AI seems to be able to listen, answer our questions, even respond to our feelings. It becomes increasingly easy to confuse machines with humans. In this situation, it is increasingly important to ask: What makes us human, in distinction from machines? There are many answers to this question, but for now I would like to focus on just one aspect of what I think is distinctively human: As human beings, we live and learn in time.  

To be human means to be intrinsically temporal. We live in time and are oriented towards a future good. We are learning animals, and our learning is bound up with the taking of time. When we learn to know or to do something, we necessarily make mistakes, and we take practice. But keeping in view something we desire – a future good – we keep going.  

Let’s take the example of language. We acquire language in community over time. Toddlers make all sorts of hilarious mistakes when they first try to talk, and it takes them a long time even to get single words right, let alone to try and form sentences. But they keep trying, and they eventually learn. The same goes with love: Knowing how to love our family or our neighbours near and far is not something we are good at instantly. It is not the sort of learning where you absorb a piece of information and then you ‘get’ it. No, we learn it over time, we imitate others, we practice and even when we have learned, in the abstract, what it is to be loving, we keep getting it wrong. 

This, too, is part of what it means to be human: to make mistakes. Not the sort of mistakes machines make, when they classify some information wrongly, for instance, but the very human mistake of falling short of your own ideal. Of striving towards something you desire – happiness, in the broadest of terms – and yet falling short, in your actions, of that very goal. But there’s another very human thing right here: Human beings can also change. They – we – can have a change of heart, be transformed, and at some point in time, actually start to do the right thing – even against all the odds. Statistics of past behaviours, do not always correctly predict future outcomes. Part of being human means that we can be transformed.  

Transformation sometimes comes suddenly, when an overwhelming, awe-inspiring experience changes somebody’s life as by a bolt of lightning. Much more commonly, though, such transformation takes time. Through taking up small practices, we can form new habits, gradually acquire virtue, and do the right thing more often than not. This is so human: We are anything but perfect. As Christians would say: We have a tendency to entangle ourselves in the mess of sin and guilt. But we also bear the image of the Holy One who made us, and by the grace and favour of that One, we are not forever stuck in the mess. We are redeemed: are given the strength to keep trying, despite the mistakes we make, and given the grace to acquire virtue and become better people over time. All of this to say that being human means to live in time, and to learn in time. 

So, this is a real difference between human beings and machines: Human beings can, and do strive toward a future good. 

Now compare this to the most complex of machines. We say that AI is able to “learn”. But what does it mean to learn, for AI? Machine learning is usually categorized into supervised learning, unsupervised and self-supervised learning. Supervised learning means that a model is trained for a specific task based on correctly labelled data. For instance, if a model is to predict whether a mammogram image contains a cancerous tumour, it is given many example images which are correctly classed as ‘contains cancer’ or ‘does not contain cancer’. That way, it is “taught” to recognise cancer in unlabelled mammograms. Unsupervised learning is different. Here, the system looks for patterns in the dataset it is given. It clusters and groups data without relying on predefined labels. Self-supervised learning uses both methods: Here, the system uses parts of the data itself as a kind of label – such as, for instance, predicting the upper half of an image from its lower half, or the next word in a given text. This is the predominant paradigm for how contemporary large-scale AI models “learn”.  

In each case, AI’s learning is necessarily based on data sets. Learning happens with reference to pre-given data, and in that sense with reference to the past. It may look like such models can consider the future, and have future goals, but only insofar as they have picked up patterns in past data, which they use to predict future patterns – as if the future was nothing but a repetition of the past.  

So this is a real difference between human beings and machines: Human beings can, and do strive toward a future good. Machines, by contrast, are always oriented towards the past of the data that was fed to them. Human beings are intrinsically temporal beings, whereas machines are defined by temporality only in a very limited sense: it takes time to upload data, and for the data to be processed, for instance. Time, for machines, is nothing but an extension of the past, whereas for human beings, it is an invitation to and the possibility for being transformed for the sake of a future good. We, human beings, are intrinsically temporal, living in time towards a future good – which machines do not.  

In the face of new technologies we need a sharpened sense for the strange and awe-inspiring species that is the human race, and cultivate a new sense of wonder about humanity itself.  

Article
Comment
Ethics
Politics
War & peace
5 min read

We must invest in defence, fast - it’s the only moral thing to do

The responsible use of force today precludes pacifism

Emerson Csorba works in deep tech, following experience in geopolitics and energy.

Amid a bombed alley, a victim is helped to walk by a rescue worker
Aftermath of a Russian drone attack, Odesa, Ukraine.
Dsns.gov.ua, CC BY 4.0, via Wikimedia Commons.

In May 2016, I was hiking the Southwest Coast Path in a group, trudging through dense forest between Lyme Regis and Weymouth, when a distinctly unsettling event occurred. As we moved along a narrow trail, a buzzing sound began—we assumed we had disturbed a bee’s nest. We quickened my pace, but the buzzing continued. Eventually, we emerged from the woods and looked up. The sound had not come from bees, but from a drone that had been following us.

I will never forget that sound; the eerie sense of something pursuing you, but unseen. In a recent BBC special on the war in Ukraine, a journalist documents the now-pervasive use of drones, the journalist and Ukrainian soldiers hiding under the cover of forest as a Russian drone scans the area, before escaping to their car in which an AI voice says ‘Detection: multiple drones, multiple pilots, high signal strength’ as they journey overground. This is the new era of covert warfare, where the enemy strikes without being easily identified. You hear the hum, but the source is elusive.

In the coming years, this kind of psychological warfare will make its way into Western cities. Terrorist attacks will shift from in-person confrontations—like the Novichok poisonings in Salisbury—towards remote, anonymous assaults: drones drifting from overseas into coastal cities to target civilians, or swarms carrying out mass attacks in dense downtown cores. The aim will be psychological trauma at scale. Civilians will grow hesitant to leave home, hyper-sensitive to the buzz of anonymous drones in their own areas. Iran recently declared that no US, British, or French base is safe from retaliation in the emerging Israel–Iran war. It is not difficult to imagine Western cities soon being viewed as legitimate targets.

We are entering a time of intensified conflict, with national security becoming the dominant framework for policymaking. The watchword of UK government policy is ‘security,’ and—writing now from Montréal—the recent Canadian election was framed around which party and leader could best protect Canadians from external threat. In this context, even domains once governed by cooperation are transformed into zero-sum contests, because national security framing by its nature shifts focus from reciprocity to limitation of the other. 

Free trade, for example - fundamentally the mutually beneficial exchange of goods and services as part of the creation of value - becomes, in a security-focused world, a question of containment. Trade, in a security-focused world, is turned on its head, free trade becoming trade wars. Fairness (in which the pie is grown and shared across multiple people) is replaced by interest, whether the interest of countries or communities and individuals within them seeking to protect themselves. As US–China competition escalates, we can expect human relations—among both states and citizens—to become even more zero-sum. 

In such an environment, do morals still matter? When the enemy grows more ruthless and more innovative in an era of national security, must we match them in kind? Or is it still possible to uphold principles while defending ourselves?

Restraint and humility are still critical virtues—but must not be mistaken for weakness.

In a recent Times column, Juliet Samuel suggested that gestures of non-aggression—such as Finland’s 2015 destruction of its one million landmine stockpile—now appear dangerously naïve. Ukraine, for its part, has rightly disregarded the Ottawa and Oslo (banning cluster munitions) conventions. Its survival depends on ingenuity, rapid technological development (for instance through the work of funds such as D3), and collaboration with its allies to prototype and deploy advanced systems.

Reinhold Niebuhr, in Moral Man and Immoral Society, contends that to be moral, one must possess the capacity for force—‘power must be challenged by power.’ That power, however, must be exercised with responsibility, humility, and moral purpose. Nigel Biggar, my former doctoral supervisor and a key figure in the Niebuhr tradition of Christian realism, argues in In Defence of War that war can be justified on balance when it meets the criteria of jus ad bellum: just cause, legitimate authority, right intention, proportionality, and reasonable prospect of success. 

War, in this reading, can express a ‘kind harshness’—a form of judgment exercised in defence of victims. Like Niebuhr, Biggar grounds his argument in Augustinian realism: the world is fundamentally good, yet broken. Because evil persists, the moral use of force becomes necessary to uphold what is right. I believe this to be true, and directly applicable to the national security-focused world in which we find ourselves. 

What does this mean then for Western countries as national security reasserts itself as the central organising principle of governance?

It means significant and urgent investment in defence and deep technology, including for instance emerging capabilities like cognitive warfare and neuroadaptive systems (wearables that enhance soldiers’ performance in live combat), counter-drone systems for urban, rural, and maritime environments, and next-generation electronic warfare and geospatial intelligence.

If drone attacks intensify at sea—such as those carried out by the Houthis to disrupt global shipping routes—counter-drone systems will be vital to ensure safe passage. In a world of manipulated narratives and disinformation, geospatial intelligence will serve as a source of truth, helping establish what is actually happening on the ground. And as agentic AI grows increasingly capable of manipulating users—through sycophancy, persuasion, and other techniques—oversight technologies like Yoshua Bengio’s new LawZero project will be essential for maintaining objectivity and integrity.

The responsible use of force today precludes pacifism, averting violence altogether. It means maintaining—and advancing—the capability for overwhelming force, so it is ready if needed. Morality in an era of national security demands investment in defence technologies at speed, to stay several steps ahead of adversaries. A ‘whole-of-society’ approach, as recommended in the recent UK Strategic Defence Review, means preparing citizens with such a mindset. Restraint and humility are still critical virtues—but must not be mistaken for weakness. Western nations must be prepared to act swiftly, decisively, and with the deterrent power that peace requires.

This is the world we are entering: one in which governments and civilians alike must be ready for unexpected threats. The hum of a drone overhead is more than a sound—it is instead a warning, reminding not only Ukrainians but those currently in peaceful situations, to prepare ourselves for potential conflicts to come. The appropriate response is not retreat, but the responsible and moral exercise of power: a necessary duty if we are to preserve peace, freedom, and justice in a world increasingly intent on contesting them.

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