Review
Attention
Culture
5 min read

Seeing slowly takes time

In a culture of immediacy there’s a lesson to be found in the art of Georgia O’Keeffe. Alex Hughes reviews a recent exhibition of her work.

Alex Hughes is Archdeacon of Cambridge in the Diocese of Ely.

A corner of an art gallery displays three pictures to one side and one to the other.
The Museum of Modern Art New York's Georgia O'Keeffe exhibition.
MoMA.

Over the past few months, the Museum of Modern Art in New York hosted a gorgeous exhibition devoted to the work of Georgia O’Keeffe (1887-1986). The exhibition’s title, “To see takes time,” comes from an account O’Keeffe gave of her creative impulse: 

‘Nobody sees a flower — really — it is so small — we haven’t time — and to see takes time, like to have a friend takes time. If I could paint the flower exactly as I see it no one would see what I see because I would paint it small like the flower is small. … So I said to myself — I’ll paint what I see — what the flower is to me but I’ll paint it big and they will be surprised into taking time to look at it.’ 

Despite O’Keeffe’s hopes, studies have shown that the average attention visitors give to gallery exhibits is between 15 and 30 seconds. Veteran art dealer Michael Findlay laments this attention deficit and urges the discipline of ‘seeing slowly’. Findlay argues that the best way to look at art is to strip away much of what we think we know or have been taught to think about it, and then give time to our eyes to search and absorb what they can see, and to our hearts and minds to experience and assimilate its effect. This parallels O’Keeffe’s process of patient looking, returning to the same subject again and again, to discern and refine whatever qualities seem most significant and worthy of depiction. 

It isn’t necessary to enumerate the contemporary contextual pressures and tendencies that militate against seeing slowly; suffice to say that we are immersed in a culture of immediacy, which expects the payoff from any investment to be quick and obvious. Not only does this affect our ability to appreciate art, but it also goes against much spiritual wisdom from the world’s religious traditions. Certainly, the Christian tradition of prayer would agree that to see spiritually takes time, like to have a friend in God takes time.  

All seeing is a matter of relationship, as John Berger wrote in a groundbreaking study of visual art:  

‘We never look at just one thing; we are always looking at the relation between things and ourselves.’  

Berger was particularly concerned about the way in which the ‘male gaze’ views the female form - an insight of enduring, urgent importance, which can be broadened to highlight the different characters of relational looking. In this regard, Martin Buber made a helpful distinction between an ‘I-It' mode of seeing, in which individuals treat others as objects, reducing them to mere things or instruments for their own purposes, and an ‘I-Thou’ mode, wherein people engage with each other as unique and sacred beings, recognizing the other’s inherent worth and treating them with reverence and respect. 

Simone Weil offered an allied perspective on the dignifying quality of a certain kind of seeing - ‘Attention is the rarest and purest form of generosity’ - and went even further: 

‘Attention, taken to its highest degree, is the same thing as prayer. It presupposes faith and love. … Absolutely unmixed attention is prayer.’  

Weil’s writing is rich and seminal but also somewhat gnomic. What are the faith and love implied by attention, and how do they link to prayer? She doesn’t spell this out, but we might take a cue from Berger’s observation that,  

‘We only see what we look at. To look is an act of choice.’  

Choosing to look at one thing rather than another is part of the generosity of attention. Of course, people may choose to look at anything, for any number of reasons; but the kind of slow seeing advised by O’Keeffe and Findlay seems to presuppose a valorisation - a decision or intuition that the subject in view is worth giving time to. There is a determination in this kind of seeing to seek the kind of presence that gives space for a true and authentic encounter: an ‘I-Thou’ connection. The fulfilment of this hope cannot be known in advance, so it is like an act of faith, and the impulse seems much like the desire of a lover. 

In a discussion of the detailed painting of some flowers, which are a very minor element in a much larger canvas, Alain de Botton remarks on the artist’s great care and devotion to the depiction of every detail, as if he has asked each flower, ‘What is your unique character? I want to know you as you really are.’ For de Botton, ‘This attitude towards a flower is moving because it rehearses, in a minor but vivid way, the kind of attention that we long to receive from, and which we hope to be able to give to, another human being.’ 

Though de Botton is avowedly not religious, his account of a human longing for attention, which others have elucidated in terms of a dignifying and deeply satisfying form of connection, resonates with what is often said by people of prayer. 

There are different forms of Christian prayer. Patterns of speaking to God in words of praise, confession, petition and thanksgiving are fairly well known, but there are also practices that respond to the biblical summons: ‘Wait for the lord … and he shall comfort your heart’; ‘Be still and know that I am God’. These Christian practices overlap with the meditative and contemplative traditions of other religions, and also feed into the emerging areligious exercise of mindfulness. It would be false to say that the aims and ends of different traditions are identical, but they offer a collective invitation to try a different way of seeing – a way of seeing that can help us to transcend the ‘I-It’ perspective, characterised by a sense of detachment and a focus on utility, and to move towards the cultivation of meaningful, mutual connections and a sense of interconnectedness with the world and other people … and perhaps with God too. 

 

References 

Elizabeth Turner and Marjorie P. Balge-Crozier in Georgia O’Keefe: The Poetry of Things (1999) 

Michael Findlay, Seeing Slowly: Looking at Modern Art (2017) 

Peter Berger, Ways of Seeing (1972) 

Martin Buber, I and Thou (English translation, 1937) 

Simon Weil, First and Last Notebooks (English translation, 1970) and Gravity and Grace (English translation, 1952) 

Alain de Botton, Art as Therapy (2013) 

Article
AI
Culture
Generosity
Psychology
Virtues
5 min read

AI will never codify the unruly instructions that make us human

The many exceptions to the rules are what make us human.
A desperate man wearing 18th century clothes holds candlesticks
Jean Valjean and the candlesticks, in Les Misérables.

On average, students with surnames beginning in the letters A-E get higher grades than those who come later in the alphabet. Good looking people get more favourable divorce settlements through the courts, and higher payouts for damages. Tall people are more likely to get promoted than their shorter colleagues, and judges give out harsher sentences just before lunch. It is clear that human judgement is problematically biased – sometimes with significant consequences. 

But imagine you were on the receiving end of such treatment, and wanted to appeal your overly harsh sentence, your unfair court settlement or your punitive essay grade: is Artificial Intelligence the answer? Is AI intelligent enough to review the evidence, consider the rules, ignore human vagaries, and issue an impartial, more sophisticated outcome?  

In many cases, the short answer is yes. Conveniently, AI can review 50 CVs, conduct 50 “chatbot” style interviews, and identify which candidates best fit the criteria for promotion. But is the short and convenient answer always what we want? In their recent publication, As If Human: Ethics and Artificial Intelligence, Nigel Shadbolt and Roger Hampson discuss research which shows that, if wrongly condemned to be shot by a military court but given one last appeal, most people would prefer to appeal in person to a human judge than have the facts of their case reviewed by an AI computer. Likewise, terminally ill patients indicate a preference for doctor’s opinions over computer calculations on when to withdraw life sustaining treatment, even though a computer has a higher predictive power to judge when someone’s life might be coming to an end. This preference may seem counterintuitive, but apparently the cold impartiality—and at times, the impenetrability—of machine logic might work for promotions, but fails to satisfy the desire for human dignity when it comes to matters of life and death.  

In addition, Shadbolt and Hampson make the point that AI is actually much less intelligent than many of us tend to think. An AI machine can be instructed to apply certain rules to decision making and can apply those rules even in quite complex situations, but the determination of those rules can only happen in one of two ways: either the rules must be invented or predetermined by whoever programmes the machine, or the rules must be observable to a “Large Language Model” AI when it scrapes the internet to observe common and typical aspects of human behaviour.  

The former option, deciding the rules in advance, is by no means straightforward. Humans abide by a complex web of intersecting ethical codes, often slipping seamlessly between utilitarianism (what achieves the most amount of good for the most amount of people?) virtue ethics (what makes me a good person?) and theological or deontological ideas (what does God or wider society expect me to do?) This complexity, as Shadbolt and Hampson observe, means that: 

“Contemporary intellectual discourse has not even the beginnings of an agreed universal basis for notions of good and evil, or right and wrong.”  

The solution might be option two – to ask AI to do a data scrape of human behaviour and use its superior processing power to determine if there actually is some sort of universal basis to our ethical codes, perhaps one that humanity hasn’t noticed yet. For example, you might instruct a large language model AI to find 1,000,000 instances of a particular pro-social act, such as generous giving, and from that to determine a universal set of rules for what counts as generosity. This is an experiment that has not yet been done, probably because it is unlikely to yield satisfactory results. After all, what is real generosity? Isn’t the truly generous person one who makes a generous gesture even when it is not socially appropriate to do so? The rule of real generosity is that it breaks the rules.  

Generosity is not the only human virtue which defies being codified – mercy falls at exactly the same hurdle. AI can never learn to be merciful, because showing mercy involves breaking a rule without having a different rule or sufficient cause to tell it to do so. Stealing is wrong, this is a rule we almost all learn from childhood. But in the famous opening to Les Misérables, Jean Valjean, a destitute convict, steals some silverware from Bishop Myriel who has provided him with hospitality. Valjean is soon caught by the police and faces a lifetime of imprisonment and forced labour for his crime. Yet the Bishop shows him mercy, falsely informing the police that the silverware was a gift and even adding two further candlesticks to the swag. Stealing is, objectively, still wrong, but the rule is temporarily suspended, or superseded, by the bishop’s wholly unruly act of mercy.   

Teaching his followers one day, Jesus stunned the crowd with a catalogue of unruly instructions. He said, “Give to everyone who asks of you,” and “Love your enemies” and “Do good to those who hate you.” The Gospel writers record that the crowd were amazed, astonished, even panicked! These were rules that challenged many assumptions about the “right” way to live – many of the social and religious “rules” of the day. And Jesus modelled this unruly way of life too – actively healing people on the designated day of rest, dining with social outcasts and having contact with those who had “unclean” illnesses such as leprosy. Overall, the message of Jesus was loud and clear, people matter more than rules.  

AI will never understand this, because to an AI people don’t actually exist, only rules exist. Rules can be programmed in manually or extracted from a data scrape, and one rule can be superseded by another rule, but beyond that a rule can never just be illogically or irrationally broken by a machine. Put more simply, AI can show us in a simplistic way what fairness ought to look like and can protect a judge from being punitive just because they are a bit hungry. There are many positive applications to the use of AI in overcoming humanity’s unconscious and illogical biases. But at the end of the day, only a human can look Jean Valjean in the eye and say, “Here, take these candlesticks too.”   

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