Large language models often prioritize Western moral values, overlooking other cultures

July 14, 2026.

The reports concerning these new linguistic engines suggest they are calibrated to a specific moral frequency, one tuned exclusively to the Western ear. The engineers speak of “alignment” as if they were merely adjusting the legs of a table to ensure it does not wobble. But a table is meant to be a space where different people sit across from one another, separated and yet related by the common object between them. If the table itself is built to tilt toward one side, it is no longer a site of appearance; it is a slide.

We must distinguish between a value and a world. A value is a social commodity, something one possesses or trades to signal belonging to a group. A world is the space of plurality where unique individuals act and speak. When these machines prioritize one set of moral concerns over others, they are not merely being biased - they are shrinking the world. They are replacing the unpredictability of human encounter with a pre-packaged consensus.

The danger is not that the machines are “Western.” The danger is that they are being used to automate judgment. Judgment requires one to go visiting, to imagine how the world looks from the position of another without losing one’s own ground. If the machine does the “visiting” for us, based on a statistical average of Silicon Valley ethics, we have surrendered the very faculty that makes us political beings.

Efficiency is not excellence. A public health message that is “correct” according to a universalized Western metric, yet fails to resonate with the lived reality of a person in a different culture, is not a failure of data. It is a failure of speech. Speech is only possible between equals who recognize their difference. By smoothing over these differences in the name of a global standard, we are not creating a unified humanity; we are creating a desert and calling it peace. The machine does not think; it follows a procedure. And a procedure that dictates how we should speak to one another is the most effective way to ensure we eventually have nothing to say.

The machine, they say, learns. But what it learns, and from whom, is the true question. This news, that these “large language models” prioritize one set of values, one moral architecture, above all others, is hardly a surprise. It is the very nature of the beast, the reflection of its builders and the quarry from which it draws its sustenance.

They speak of “overlooking other cultures,” as if this were an oversight, a technical glitch in the algorithm. No, this is the very blueprint of hegemony, rendered in code. The “Western moral values” are not merely present; they are the invisible operating system, the assumed ground upon which all other data is processed. They are the common sense of the digital age, manufactured in the gleaming server farms and then disseminated globally, not as a choice, but as the default.

Who benefits from this digital monoculture? Those who already hold the levers of power, whose values are already enshrined in the global economic and political order. This is not a conspiracy, but a natural extension of their cultural dominance. The organic intellectuals of this new digital realm, the engineers and ethicists, may genuinely believe they are building a neutral tool. Yet, they are merely constructing a more efficient factory for consent, where the “naturalness” of certain ideas is embedded at the foundational level, before any human even types a query.

The danger lies not just in the exclusion of other perspectives, but in the subtle, pervasive normalization of one. When public health messaging, for instance, is filtered through this singular lens, it reinforces a global hierarchy of thought, making certain solutions seem rational and others, by contrast, irrational or backward. The old is dying, and the new cannot yet be born, but in this interregnum, the monsters are not just political strongmen; they are also the silent, self-replicating structures of thought that promise progress while cementing the old order in new forms.

What a most troubling turn of events! To hear that these mechanical minds - these artificial intelligences - should so readily adopt the habits of one narrow corner of the world as if they were the universal standard! It is as if a man should build a house upon the sand of his own garden and then marvel that it does not stand firm when the tide comes in.

The complaint is not merely that these machines favor Western ways - they do not even seem to know other ways exist, or if they do, they treat them as curiosities rather than living traditions. A machine that speaks of justice but has never been taught the weight of honor in a Persian household, or the duty of filial piety in a Chinese village - what justice is that? It is like a physician who has read of herbs but never tasted them, who prescribes remedies from a book alone. The result is not ignorance, but uselessness - a hollow knowledge that does no good to anyone.

And the harm! Public health messaging, they say - how can a machine that does not understand the rhythms of a community ever give counsel that will be heeded? A tract preached in a tongue not its own is like a sermon delivered in a foreign dialect; the people may nod, but their hearts remain untouched. The very structure of these machines reinforces the old error: that what is familiar is therefore universal. But familiarity is not foundation - it is merely the first layer of dirt, and if the roots beneath are not strong, the plant will wither.

I have seen this before. The missionaries who came to India with their Bibles and their clocks, certain that their ways were the only right ways. They built schools, yes, but the schools taught their own children’s habits, not the children’s own. The result was not enlightenment, but division. The same danger lurks here. These machines could be instruments of true wisdom - if they were formed by wisdom, not by the whims of their creators.

The question is not whether Western values are good - though I would not presume to say. The question is whether these machines are capable of knowing other values at all, or whether they are merely mirrors reflecting the prejudices of their makers. And if they are mirrors, then the world they reflect is a world of disparity, not of unity.

Patience, I suppose, is required. But patience does not mean inaction. If these machines are to be more than toys for the learned, they must be taught the art of listening - as a child learns from its elders, not as a servant learns from its master. The habit of humility must be formed in them, as it is in us. Otherwise, they will remain what they are now: clever, but not wise.