Review
Art
Attention
Culture
5 min read

The very image of kindness

Photography risks cruelty in search of sensation. Andrew Davison contrasts such works with Dorothea Lange’s compassionate gaze.

Andrew works at the intersection of theology, science and philosophy. He is Canon and Regius Professor of Divinity at Christ Church, Oxford.

A black and white close up of a mothers cradling her jaw in worry as children cuddle into her.
'Migrant Mother', Lange's best known image.
Public Domain, The J. Paul Getty Museum, Los Angeles.

Do you like your photography cruel or kind? I’m generally an enthusiast for kindness – an unsung virtue – but I was mesmerised by a 2019 show of photography by Diane Arbus (1923–71) at the Heyward Gallery, London, and she’s the cruellest of the lot. Her photographs are a study in the awkward, the disturbing, and the unusual: a pair of brothers with extraordinarily large ears, a child with a grimace and a toy hand grenade, a boy from a pro-war parade, wearing with straw boater and “Bomb Hanoi” badge. 

Arbus’s photographs have an undeniable charge. They hold your view. I’m glad, however, that I stand in front of her prints, not in front of her lens. She was not out to show you at your best. Here is Germaine Greer, describing a photoshoot with Arbus in the Chelsea Hotel in Manhattan. 

'Clutching the camera she climbed on to the bed and straddled me, moving up until she was kneeling with a knee on both sides of my chest. She held the Rolleiflex at waist height with the lens right in my face. She bent her head to look through the viewfinder on top of the camera, and waited… as soon as I exhibited any signs of distress, she would have her picture… Nothing would happen for minutes on end, until I sighed, or frowned, and then the flash would pop. After an eternity she climbed off me, put the camera back in her bag and buggered off. A few weeks later she took an overdose of barbiturates and slit her wrists.' 

Reviewing the Aperture monograph that would secure Arbus’s fame, Susan Sontag described her work as ‘a hymn to the isolation and atomization of the individual’. I am not sure that’s entirely fair. There was undeniable cruelty to Arbus. “You see someone on the street,” she wrote, “and essentially what you notice about them is the flaw.” Perhaps all photography risks cruelty, depicting us warts and all (at least before the advent of the Instagram filter, although I’m inclined to call Instagram filters the worst indignity of all). Yet, even in Arbus, just in portraying the human as human, compassion lurks at least just round the corner. 

But sometimes compassion is nearer at hand, even centre stage. For that, I turn to Dorothea Lange (1895–1965), and to a recently-opened show of her work at the National Gallery of Art in Washington, DC, entitled Seeing People. It holds Lange before us as the archetype of compassionate photography.  

Lange could not have produced the photographs she did, however compassionate she might have been, without time, care, and attention. 

Lange trained as a portrait photographer, establishing a successful studio in San Francisco in the 1920s. Her approach to photography as a humane act developed during her work documenting rural poverty in the decade that followed. With it, she drew public attention to the effects of the Great Depression and the dust bowl, and helped to shift the public mood. From 1935, she did that under the auspices of what would soon become the Farm Security Administration. A photograph taken in March 1936 – “Human Erosion in California” (eventually known as “Migrant Mother”) – proved to be her career-defining shot. It shows Florence Owens, mother of ten children, photographed in the pea pickers’ camp in Nipomo, California. She and her family were in a dire situation, constantly moving to find new, transitory work.  

In the 1940s, Lange documented the suffering of Japanese Americans during the Second World War (“Japanese American-Owned Grocery Store, March 1942”), not least once Japanese Americans began to be moved into internment camps (“Grandfather and Grandson of Japanese Ancestry at a War Relocation Authority Center, July 1942”). For the rest of her career, Lange would travel to places in the United States that rarely, if ever, feature in genteel conversation, to photograph people scraping through on very little, never failing to capture a sense of their dignity. 

So, Lange was a compassionate photographer. I knew that before this show opened, and kindness is there in print after print. I was expecting that. What struck me for the first time is that Lange’s compassion was no light, easily achieved affair. She was careful, prepared, painstaking. She spent extended periods in deprived parts of her country, sometimes travelling for months at a time. She immersed herself in the life of a community, not least in its religious life, rather as an anthropologist would. She took detailed notes, and laboured over how to describe her subjects in captions and accompanying prose. 

It is too easy to say that Lange was compassionate in way in which Arbus was not: too easy, if that implies that the fruits of her compassion were easily achieved. Lange could not have produced the photographs she did, however compassionate she might have been, without time, care, and attention.  

She ‘saw people’, as the name of this exhibition reminds us. She saw people is because she took time to look. Before she clicked her shutter, she looked, she saw, she listened. 

In contrast to Lange’s deliberate intent, Arbus was a wanderer. She had a remarkable eye, and she took what she wanted. She is among the greatest of opportunist photographers. Sontag got to the heart of that, remarking that Arbus treated human beings like the “found objects” that Surrealists elevated to the status of art: 

What may seem journalistic (read “sensational”) in Arbus’s photographs places them, rather, in the main tradition of Surrealist art—with their taste for the grotesque, the proclaimed innocence with respect to their subjects, their claim that all subjects are merely objets trouvés.  

Therein lies the difference from Lange. 

The world could do with more compassion. Who would deny that? The message of the Washington exhibition, and of Lange’s work as a whole, is that compassion is not the work of a moment. Posting outrage to social media, or posting solidarity for that matter, is not going to change very much at all. It may make things worse. Lange’s lesson for this hour is that compassion requires us to take time. Her message is in her anthropological attention to people, communities, stories. She ‘saw people’, as the name of this exhibition reminds us. She saw people is because she took time to look. Before she clicked her shutter, she looked, she saw, she listened. 

  

Dorothea Lange: Seeing People runs from 5 November 2023 to 31 March 2024 in the West Building of the National Gallery of Art, Washington, DC. Entry is free. 

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.”   

Celebrate our 2nd birthday!

Since Spring 2023, our readers have enjoyed over 1,000 articles. All for free. 
This is made possible through the generosity of our amazing community of supporters.

If you enjoy Seen & Unseen, would you consider making a gift towards our work?

Do so by joining Behind The Seen. Alongside other benefits, you’ll receive an extra fortnightly email from me sharing my reading and reflections on the ideas that are shaping our times.

Graham Tomlin
Editor-in-Chief