Category Archives: Artificial intelligence

Museum of Islamic Art, CC BY 2.0 , via Wikimedia Commons

on translation as spiritual practice

“The feeling that the world is a bounded whole–that is the mystical.” — Wittgenstein

The Spanish word quedar can be translated as to remain, to stay, to meet, to fit, to suit (as in Ese color te queda bien), to be located, to end up, to agree, or to be left with (as in Me quedan 20 euros).

One of those meanings is “to agree.” That English verb can be translated back into Spanish as estar de acuerdo, acordar, convenir, coincidir, aceptar, or, again, quedar.

One of those meanings is acordar. Rendered back in English, that verb can mean to agree, decide, or make an arrangement, or–if it’s in a reflexive form–to remember. In turn, “to decide” could be conveyed in Spanish by decidir (or decidirse), resolver, acordar or determinar.

I chose quedar because it has a famously wide range of meanings, a bit like rendre or tenir in French. But notice that each of the words that I’ve mentioned connects to a unique list of words in the other language. This is typical. Putting two languages together creates a pattern of intertwined connections, like an arabesque design.

When you study a language, you memorize foreign words as sets of distinct words in your home language. In a given context, quedar means one thing, such as “to stay” or else “to agree.” A translator should know–or look up–the full list of meanings for each word and must pick the best one for each sentence. Sometimes there is no single best choice.

But once you know the language reasonably well, a word no longer decomposes into several words in a different language. Now it covers its own space. Presumably (I don’t have good enough Spanish to know) each use of quedar carries an implicit trace of its whole range of meanings.

Todo pasa y todo queda, 
pero lo nuestro es pasar, 
pasar haciendo caminos, 
caminos sobre el mar.
 

Everything passes and everything stays,
But ours is to cease to be. 
As we go, we make a highway,
A highway on the sea. 

Antonio Machado, Proverbios y Cantares (1912): XLIV

Here I’ve rendered the first line with the verbs “to pass” and “to stay,” but I had other choices. Pasar could mean to go through, to happen (¿que pasa?), to spend time, etc. And we have already seen the range of meanings for quedar. Its other senses are missing in the English word “stay,” but that verb has its own range of meanings, including to visit and to prevent something from happening. Those are absent in Machado’s original.

I chose “to pass” for several reasons, including the sonic resemblance to pasar as well as some vague sense of English allusions, such as “One generation passeth away, and another generation cometh” (Ecclesiastes). I chose “to stay” as a single syllable that was a near-rhyme for “ways.” Translation is not only about matching words but also about syntax, rhythm, and sound.

Artificial Intelligence is good at translating prose. It generally chooses an appropriate equivalent for each word. Thanks to AI tools, I have been able to read articles in languages, such as Japanese, of which I know nothing. I have also developed a careful practice of asking Claude to list all the dictionary definitions of words in languages, such as Sanskrit and Pali, that interest me. I hope that viewing these lists gives me some sense of how the words work in their original languages, although I must look through that glass darkly.

What AI cannot do is give a person the experience of parsing the whole world a bit differently by beginning to think in a different language. In turn, that experience teaches us that anyone’s model of the world is limited and contingent, and much always remains beyond anyone’s grasp.

A language is a whole system of meanings. It allows us to work with the world, yet it coexists with other systems that present the world differently. Those other systems include not only human languages (which are, after all, rather similar and interconnected), but also other consciousnesses. To glimpse this plurality is to see our own world as if from beyond it.

In the detail from a 13th-century Persian mihrab that accompanies this post, each arabesque field could stand for a pair of intertwined human languages, but there are also fields across the boundaries formed by the Quranic calligraphy. And the whole mihrab is a threshold to the beyond.

Wittgenstein writes, “Das Gefühl der Welt als begrenztes Ganzes ist das mystische” (Tractatus 6:45). Acknowledging that this sentence could be translated in many ways, I will render it: “The feeling that the world is a bounded whole–that is the mystical.”

It’s another way of saying that we make our highways on the sea.


See also: Machado’s Glory is Never What I’ve Sought and Highways on the Sea; paradigms of attention; why the humanities could never be automated; and thinking both sides of the limits of human cognition. Photo credit: detail of a mihrab from Kashan (1226) in the Pergamon Museum, Berlin, via Wikimedia Commons.

why the humanities could never be automated

Sometimes, we want to answer questions to accomplish practical outcomes. For example, we want to know whether a vaccine works so that we can decide whether to use it. Or we may seek basic insights about viruses so that we can develop vaccines in the first place.

Sometimes, we want to know things because we are simply curious. It is hard to justify a lot of astronomy (for example) on the basis of its practical implications. But we want to understand the universe.

And sometimes, we want to understand people–and perhaps animals–because we are in relationships with them. When you ask friends how they’re doing, your motive may not be to solve a problem, nor mere curiosity, but care. You should give your friend your attention. The benefits are psychological, ethical, or spiritual–a change in one’s mind and in the relationship with the other person.

Friends may tell you things that you should believe for practical reasons or to satisfy pure curiosity. Someone might tell you that a vaccine works, so that you will take it, or that all the planets in our solar system could fit between the earth and the moon, because that’s kind of interesting to know. Paying attention means taking such claims seriously. But the main point of learning what other people think is not to find out what is objectively true; it is to know the other people. In fact, exploring the beliefs and values of a wide range of people can shake our confidence in beliefs, in general, and hence our feelings that we can and must get our own beliefs right.

Attending to a text or an artifact from a distant time or place is a little different from an ordinary conversation. For one thing, you cannot directly benefit long-dead or faraway authors by giving them your attention. Although we have ethical obligations to the dead, the influence is basically one-way. However, reading, listening to music, and viewing art are similar to regular conversations in important ways. They too are practices that develop compassion and reduce our attachment to our own prejudices and concerns.

While Michel de Montaigne’s married friend Diane de Foix was expecting a child, he sent her advice about education. He recommended foreign travel and conversation with peers. A youth should listen and appreciate, he said, not try to form and share beliefs.

And so should adults. Montaigne told de Foix, “In this school of human interaction, I have often observed this vice: instead of getting to know others, we only strive to give ourselves and are more concerned with using our own goods than with acquiring new ones. Silence and modesty are qualities very well suited to conversation.” A passage in the same letter could stand as a justification of Montaigne’s whole way of life:

This vast world, which some think is just one species in a larger genus, is the mirror in which we must look to truly know ourselves. In short, I want [our world] to be my student’s book. The variety of moods, sects, judgments, opinions, laws, and customs teach us to judge our own people soundly and teach our judgment to recognize its imperfection and natural weakness: which is no small apprenticeship.

If the purpose of the humanities–the disciplines that interpret texts and artifacts–is not to determine truth but to attend to other people, then we cannot outsource this thinking to machines or even to other human beings. The point is the experience, not the outcome.

Here is a complication: professional scholars in the humanities do pursue the answers to questions. At one extreme, they may seem much like scientists when they establish the date and provenance of a painting or correct a primary text. At the opposite extreme, they may offer highly creative or even counterintuitive interpretations, but usually they still claim to be telling us something valid about an object in the world. We can ask whether they are right or wrong, persuasive or unconvincing.

I think scholarship is very valuable, but it ultimately contributes to the humanities as experience. The point of watching or reading Shakespeare is to get out of one’s own head by attending to the author and his characters. The point of philological, historical, or interpretive scholarship about Shakespeare is to enrich performances and readings of the works.

Some of the scholarly labor can be assigned to machines. Because I cannot read Pali but I am interested in classical Indian philosophy, I have been very carefully using ClaudeAI to give me dictionary-type definitions of all the Pali words in select passages. This is an algorithmic task. Claude is probably using published Pali-English dictionaries, plus previous translations made by people who used the same dictionaries. A dictionary is also an algorithmic device, a kind of machine that generates a range of words in one language for each word in the other language. I believe that the first dual-language dictionary (Sumerian-Akkadian) was written more than 4,000 years ago.

Thus there is nothing fundamentally new about creating devices that automatically assist readers, listeners, and viewers of human artifacts. In addition to lexicons and dictionaries, we might mention grammars, concordances, indices, card catalogues, provenance lists for artworks, search functions for digital texts, and many other scholarly resources. LLMs can often do these things better.

The difference is that we were never tempted to view the tools as ends in themselves. They were meant to assist a reader in a practice that would enrich that person’s mind. Because the LLM’s speak in the first-person and purport to interpret and explain texts, it is tempting–and I feel this temptation–to imagine that they can do our reading for us. To use a simile that is becoming a cliché, that would be like getting a machine to lift barbells to save us the effort. This would not count as exercise.


Source: Montaigne, vol. 1, essay :26 (“Of the instruction of children”). I follow Screech in interpreting “que les uns multiplient encore comme especes soubs un genre” to mean that our world is one species in a greater genre of worlds.

See also: the worlds we can lose when intelligence becomes artificial; the difference between human and artificial intelligence: relationshipsthe design choice to make ChatGPT sound like a human; against using the humanities instrumentally; Bernard Williams on truth as a virtue of the humanities

the worlds we can lose when intelligence becomes artificial

In 1958, Hannah Arendt could see where were were headed:

This future man, whom the scientists tell us they will produce in no more than a hundred years, seems to be possessed by a rebellion against human existence as it has been given, a free gift from nowhere (secularly speaking), which he wishes to exchange, as it were, for something he has made himself. …

It would be as though our brain, which constitutes the physical, material condition of our thoughts, were unable to follow what we do, so that from now on we would indeed need artificial machines to do our thinking and speaking. If it should turn out to be true that knowledge (in the modern sense of know-how) and thought have parted company tor good, then we would indeed become the helpless slaves, not so much of our machines as of our know-how, thoughtless creatures at the mercy of every gadget which is technically possible, no matter how murderous it is. (Hannah Arendt, The Human Condition, 1958, p. 3)

What is “human existence as it has been given”?

For most of our history, most human beings have lived with other people whose names they know. They have worked individually and collaboratively with materials in their context to make an environment that I will call a “world.”

A world has these features:

  • It is imbued with moral significance, because other people have made it, given it meaning, cared about it, and been affected by it. An individual cannot interact with a world without causing good or harm to other people.
  • It is real, not imaginary, and therefore it is stubborn. It rarely turns out the way we want, but we can learn from experience to work more effectively with it.
  • The other people involved in any world hold partially conflicting interests and goals and can be stubborn in their own way. Both the materials and the people resist any single will.
  • Each person has partial and even biased knowledge, beliefs, and feelings about the world. But their varied ideas can accumulate as they express them and record them. Each person can therefore explore not only a world but the accumulated human experience of that world.
  • Because we must act in the company of other people and learn by acting, our “thinking and speaking” are closely connected.
  • Because our deepest concerns (moral, spiritual, and otherwise) relate to the world that we shape with our minds and hands, our “thought” is also connected to our “know-how.”
  • Each world typically predates each human being and survives the person’s death, yet each person can affect it. In fact, the birth of any human being automatically changes the world, if for no other reason than a birth turns people into parents, siblings, and other kinds of relatives.
  • There is not one world but many human worlds. But worlds can interact to various degrees without becoming subsumed into one bigger world.

Why it is good to live in a world

It is not obvious that living in this kind of world is the best imaginable form of life. Most people have envisioned heaven or a political utopia differently. (For instance, in an ideal world, the other people usually become less stubborn!) But I could make three arguments in favor of living in a world like this.

First, it seems plausible that homo sapiens evolved for such a life. Our brains, senses, and bodies are equipped to navigate it.

For instance, newborn infants already recognize faces, which are designed to communicate information and emotions. And our languages and cultures have accumulated deep resources for sharing a world with finite other human beings. The Proto-Indo-European language already used first-, second-, and third-person verbs and indicative, imperative, and subjunctive moods to make distinctions that are useful for group discussions about a common world. Thus a world is arguably our habitat.

Second, the combination of agency and humility seems morally compelling. It is fitting that we can affect our environment but not do just anything we individually want with it. And we should see our context as imbued with moral significance.

Third, navigating a world is a way for creatures like us to achieve comprehension, to make sense of matters. As Arendt writes:

There may be truths beyond speech, and they may be of great relevance to man in the
singular, that is, to man in so far as he is not a political being, whatever else he may be. Men in the plural, that is, men in so far as they live and move and act in this world, can experience meaningfulness only because they can talk with and make sense to each other and to themselves (1958, p. 4).

Threats to human worlds

Each human world has always been fragile, subject to destruction if invaders arrive, a plague strikes, or the community breaks down.

In addition, tyrants threaten any shared world because they can turn individuals into means to their solo ends.

Mass society puts each world at risk by bringing us into relationships with millions of others, whose names we will never learn. And mass economic exploitation makes matters worse. In Origins of Totalitarianism, Arendt says, “loneliness, on the experience of not belonging to the world at all, … is among the most radical and desperate experiences of man. [It is] is closely connected with uprootedness and superfluousness which have been the curse of modern masses since the beginning of the industrial revolution and have become acute with the rise of imperialism at the end of the last century and the break-down of political institutions and social traditions in our own time.”

When history seems to move quickly and beyond anyone’s control, humans cease to feel that they are agents in any recognizable world.

Ideology can be defined as any system of thought that substitutes core assumptions for actual engagement with other people in a common world.

Finally, although media can enrich any given world, it can also disrupt it. Imagine people sitting alone or in passive company before a TV screen that tells them about gruesome crimes. Their actual world may be safe, or less dangerous than it was in the past, but the mediated world is cruel.

New threats in the age of AI

This theoretical framework comes from Arendt, who drew on Heidegger’s fundamental insight that the human form of being (Dasein) is always “‘in’ the world in the sense that it deals with entities encountered within-the-world, and does so concernfully and with familiarity” (Being and Time, H105, trans. by Macquarrie & Robinson). Arendt makes Heidegger’s theory political and republican by emphasizing that people can talk and decide what to do with their worlds.

I have sketched this view to help make sense of a new phenomenon: intelligence that is artificial (AI). But Arendt already feared that we might “need artificial machines to do our thinking and speaking.”

When a person expresses a view, the content of what they say helps us to understand the world that the person inhabits. Even when people are flat-out wrong, the fact that they err or lie is part of our reality. In addition, a human view comes from a creature that can suffer. As such, it makes a claim on our compassion. In short, we attend not only to the content of the statement but also to the person who expressed it.

In contrast, when a large language model (LLM) answers a query (typically in the first-person singular and with emotive language like “I will be glad to …”), it does not reflect any particular perspective, nor does it come from a body that is capable of suffering. It just pretends to be a fellow participant in our world. We can attend to the words but not to the speaker.

Walter Cronkite was not really a visitor to Americans’ living rooms in 1970. He just appeared on TV screens. But he was a real person who could be assessed as such. An LLM is qualitatively different.

An LLM can be just another tool or resource, like a Heidegger’s hammer or perhaps like a library. I have collaborated with teams of Tufts engineering students to build the Civic Helpdesk and other applications of AI that are not yet publicly available. Working with them to fine-tune instructions or to design a user interface feels very much like collaborative work in a shared world. Note that I naturally said we “built” these tools, because the work feels roughly like building a shed, or perhaps an organization.

I have also developed what I think is a fairly tight practice of asking Claude about the Sanskrit and Pali original words in texts that I can only read in translation. This feels like a modest expansion of my inner life, if not a contribution to any shared world. (By the way, Claude is probably pulling these definitions from a finite set of published lexicons that have human authors.)

On the other hand, as Pope Leo notes in Magnifica humanitas, “current AI systems are more ‘cultivated’ than ‘built,’ for developers do not directly design every detail, but instead create a framework within which the intelligence ‘grows.’ As a result, fundamental scientific aspects — such as the internal representations and computational processes of these systems — remain, at present, unknown.” This sounds more like Arendt’s nightmare of a time when our thoughts cannot grasp what we have done.

The deepest concern is that we have developed biologically and culturally to flourish in what Arendt would call a world, but an individual who uses AI is no longer there.


See also: the papal encyclical on AI; Reading Arendt in Palo Alto; the human coordination involved in AI; the difference between human and artificial intelligence: relationships; the design choice to make ChatGPT sound like a human; and love of the world

the papal encyclical on AI

Magnifica humanitas (“Magnificent Humanity”) is Pope Leo XIX’s XIV’s first encylical, subtitled “On Safeguarding the Human Person in the Time of Artificial Intelligence.”

Near the beginning, Leo makes a plea for “a shared discernment process.” He warns against worrying only about “contingencies” and “a succession of emergencies.” It is urgent to think ahout AI more deeply.

He observes that “most people are watching and waiting, observing from afar and merely hoping for the best. For this very reason, crucial questions impose themselves on our conscience and can no longer be avoided: Where are we going? Toward what goal do we wish to orient ourselves? What direction should we choose as a people and as a human community?”

When the Catholic Church practices “discernment” about social conditions, it “does not claim to offer ‘a definitive opinion'” but strives “to listen to and distinguish the many voices of our times and to interpret them in the light of God’s word.” Leo says that the Church is open not only to technical expertise but also to “a diversity of opinions” about values. Leo mentions previous papal letters with gratitude but also “gratefully acknowledges” the development of human rights doctrine through documents like the 1948 Universal Declaration of Human Rights, which did not originate with the Church.

Coming from outside the Church, I also welcome a basic inquiry into human intelligence at a time when computers are supporting a different kind of intelligence that poses risks for humans. The “central question” of the encyclical is indeed a basic question of our day: “what does it mean to safeguard our humanity?” I welcome the normative contributions of Catholic social doctrine, in much the way that Leo says he welcomes other views.

In paragraphs 11-14, Leo names four principles that are essential for “building a city founded on the common good.” The first is “a firm relationship with God.” I respect that idea but cannot follow it. But the second one is important and can be developed outside of Christianity. Leo says:

Today, the human desire for fullness of life is at risk of being misled by deceitful goals, such as the prospect of a technology that promises to free us from all weakness, and models of wellbeing that leave behind entire populations. All too often, we place our hope in unlimited ‘upgrades,’ in forms of progress that exacerbate inequalities, and in immediate solutions incapable of healing people’s wounds. As a result, while some pursue the illusion of unlimited self-assertion, many are deprived of basic necessities. The Church reminds us, with a firm yet humble voice, that true fulfilment is not achieved by eliminating weakness but through harmonious growth. It is found where freedom and responsibility are intertwined with mutual care and true solidarity, and where progress is measured by the dignity of each person and the good of all peoples.

This is very much like Hannah Arendt’s understanding of love for the world (amor mundi). We must love the species we happen to be (including the male portion, by the way). Our love for people should not be contingent on believing that we are good or smart.

When we can improve the human condition, we should. For example, if we can use gene therapy to cure a debilitating disease, then it is our obligation to do so. But the goal is never to perfect human beings. It is to help humans do the best we can with what we are, together.

Leo’s reference to a “city” based on love involves two Biblical stories that he briefly sketches near the outset. The Tower of Babel resembles a modern Large Language Model (LLM):

Fearing being scattered across the earth, [the people] sought to guarantee stability and power for themselves, and above all to ‘make a name’ for themselves. It was an impressive feat: a single language, a single technology, a single direction. However, the project concealed a profound danger. It was a project conceived without reference to God, supported by a uniformity that eliminated diversity and that chose homogenization over communion. When a city is built on pride and the claim to self-sufficiency, communication breaks down, languages are confused and people no longer understand each other. The result is not unity, but dispersion.

The other city is Jerusalem as it was rebuilt by Nehemiah–a story with deep civic resonance that I have discussed on this blog and in What Should We Do? A Theory of Civic Life (pp. 81-83)

The teachings of the Church are grounded in biblical narratives like these but have developed through previous efforts of discernment in modern times. Leo discerns the following components of today’s Catholic Social Doctrine: the equal dignity of all human beings; the supreme value of human rights; the principle of the common good; the principle of the universal destination of goods; the principle of subsidiarity; the principle of solidarity and the principle of social justice.

I will mention a few points that interested me from this framework.

First, the encyclical develops an interesting view of property rights in an era of data science and AI. Leo acknowledges that “certainly there is a right to private property, which has its own specific meaning and purpose.” (He does not explain the purpose of private property, but it could be to permit individuality and thus human dignity.) However, for Leo, private property is “always subordinate to the universal destination of goods,” which means that “the earth’s goods — soil, water, air and natural resources — are given by God to the entire human family to sustain the lives of all, and … every person has an inherent right to the use of such goods, both now and in the future.”

So far, this is established Catholic Social Doctrine, but the novel point in Magnifica humanitas involves intellectual property: “Today, among the goods that are universally intended for everyone, we must also include new forms of property, such as patents, algorithms, digital platforms, technological infrastructure and data.” Later, Leo says, “Data is the product of many contributors and should not be treated as something to be sold off or entrusted to a select few. It is necessary to think creatively in order to manage data as a common or shared good.”

Prevalent legal frameworks treat software and intellectual property as the work of human beings who have the right to own the fruits of their work. But Leo traces all goods back to God. When a human being invents software or a machine, there is no second creation. The output is still meant for the entire human family.

Leo also makes a strong argument against tech-bro economics:

It is important to ensure that this growth in appreciation of human dignity is not obscured by the pressure of new ideologies or very powerful interests in today’s world. Among these ideologies, I consider particularly insidious the one that suggests that every person must earn or justify his or her own worth, to the point of attributing greater value to those who are more efficient or effective. From this perspective, persons end up being reduced to a means of achieving results, a resource to be used and exploited, and are no longer recognized as a proper end in themselves who should never be instrumentalized. The value of persons, however, does not depend on what they achieve or produce. There are rights that apply to everyone simply by virtue of being human, and no human power can legitimately deny or arbitrarily limit them.

The practical concerns that the encyclical catalogues include propaganda and misinformation, loss of meaningful work, rising inequalities of power and wealth, and deadly militarism enabled by “autonomous” weapons systems.

These are valid topics, and the encyclical sometimes reads like a thoughtful but relatively conventional policy white paper.

At times, however, the specifically Catholic perspective lends additional depth to its conventional recommendations. For instance, here is some general advice regarding education in a time of AI:

We need adults to rediscover their vocation as artisans of education, prepared to work patiently each day, with the support of extensive and shared educational partnerships. Today, accompanying children and young people in using technology for developing responsible relationships, helping them to recognize the risks and choose what fosters inner freedom, is a concrete form of charity and will safeguard their dignity. Teaching new generations that technological evolution does not follow a predetermined path, but can be guided by personal and collective responsibility, constitutes one of the most valuable services to the common good.

A purely secular nonprofit could have written those sentences, although perhaps without the reference to charity (caritas). But only the Church would preface this passage with the preceding sentence: “Indeed, we must consider the digital world as a new continent to be evangelized, one that requires generous missionaries who are mature in the faith.”

I suppose I would have liked to read a bit more about the spiritual costs of intelligence that is artificial rather than an activity of the human mind. In the history of the Catholic Church, technology has repeatedly changed how human beings have formed and communicated ideas and meanings. The codex, the confessional, the cathedral, the printing press, and the broadcast studio have restructured individual and collective mentalities. We have survived such changes so far, as has the Church. But right now, we must think deeply and act effectively to prevent AI from reducing us to “data, a cog in a machine or a commodity” so that it can instead become an “instrument of growth, justice and fraternity.”


See also: Reading Arendt in Palo Alto; the Nehemiah story: on the pros and cons of walls; AI as Satanic; love of the world; the encyclical Laudato Si and the power of peoples to organize; etc.

attitudes about AI by age

In the New York Times, Michelle Goldberg writes that college students are jeering at tech oligarchs who give commencement speeches about the benefits of AI. A Wall Street Journal article begins, “The only thing growing faster than the artificial-intelligence industry may be Americans’ negative feelings about it—as former Google Chief Executive Eric Schmidt saw on Friday” when he was booed at University of Arizona.

I had been wondering about this topic. The students I know best tend to be highly critical of AI, but presumably their generation holds varied opinions.

The Quinnipiac Poll asked Americans their attitudes about AI, and here I show those broken down by age.

Older people are the most likely to say that they are not excited at all by AI. Millennials (now at least 30 years old) are the most likely to say they are very excited, although that it is true for only 12% of them. Among Gen Z (under 30), the most common response is “not so excited,” and only 4 percent of them are very excited.

When asked whether AI will do more good or harm to people’s own day-to-day life, most Americans say “more harm,” and that is true of 55% of Gen-Z. The youngest generation is the most likely to say that AI will harm education (68% think it will harm education and 29% that it will help).

Just over 40% of each generation is somewhat concerned about AI overall, with no age differences. A bit more than half of Gen Z are very concerned, but rates of concern are higher among Millennials, who are quite polarized on the topic.

Without access to the raw data, I can’t see how age, education, gender, ideology, race, and personal experience with AI relate to opinions about AI. However, respondents who have more education and income are generally more favorable to AI in this poll. Those patterns hint that current college students may be more sanguine about AI than their contemporaries who are not going to college.