Review
Art
Culture
5 min read

Matthew Krishanu: painting childhood

Portraying family, memories and counterpoints.

Jonathan is Team Rector for Wickford and Runwell. He is co-author of The Secret Chord, and writes on the arts.

a painting shows Bengali celebrants of a Eucharist.
Preaching, Matthew Krishnau, 2018.
Peter Mallet.

The Bough Breaks by Matthew Krishanu at Camden Art Centre has been described as the most significant exhibition of his work to date because, by showing the drawings and works on paper that he calls the generative heartbeat of his work as well as the works for which he is best known, the exhibition is the fullest expression to date of the expansive world of his artistic practice. 

His images are primarily personal stories told through layers of memory, imagination, and conversations with the history of painting, in atmospheric, pared-back compositions which focus particularly on his childhood years in Bangladesh growing up with his brother, and their parents who were a British Christian priest and a Bengali theologian.  

He speaks of his images in terms of an ‘I-you-them‘ axis. The work he considers his first painting, from 2005, entitled ‘Boy on a Bed’ was originally a scene of an empty room. He recalls that “late in the night before I was going to be exhibiting it, I sketched in this boy with black hair, brown skin, and a little toy car behind him”. He continues, “I knew that was me, and I knew that there was something I wanted to communicate about the inner world of that child”. In 2012, there came another “fundamental shift” in that “I wanted to paint myself and my brother”. With the first ‘Two Boys’ painting, “I remember it felt like worlds had opened up”. He explains that “when you have a single child, you can project ideas of melancholy or loneliness” but “when you have two, they outnumber the single viewer” and “I think the fact that they are clearly brothers and both have brown skin and often a very direct gaze at the viewer, holds a certain power”. 

He recalls being in a show called Painting Childhood: From Holbein to Freud where the very last room was of the ‘Two Boys’: “Having gone through room after room of European children, white children, then coming into a room where these two boys weren't othered in any way, but were taking centre stage in the narrative, was hugely important.” 

Adults are excised from the ‘Two Boys’ series “because I want the boys to be out on a limb or up on a hill, without parental supervision”. However, within the ‘Mission’ series - paintings of church life in Bangladesh - adults are seen from the perspective of children. As a result, they are in the ‘them’ part of the axis: “I see the adults in the third person. I'm constructing them as in some way other to the child's eye. This brings in the strangeness of performance and ritual, the stiffness of it too, particularly when you're used to being barefoot on the ground in Bangladesh and, suddenly, are meant to sit still and quiet. For me, it was compounded by the fact that I was brown skinned, as was my brother and mother, and my father was white skinned, and he was a priest, and he was a man, and all the power that comes with being a white man in Bangladesh; just the way he is perceived by his congregation, and even strangers on the street.”  

He recalls that: At the time I knew that wasn't right and I didn't like the depictions of God as this white man flying around the sky. As a child, you have quite a raw and immediate relationship to life and nature and spirituality and, for me, it was the religious art that was the fundamental barrier to entering the world of the church. Also, the gendering of ‘Our Father’ or Jesus, the ‘only son’. That's why, as a young teen, I decided I didn't want to be confirmed, because I didn't believe in that construction.” 

‘For me, that is where my faith is, in love, in the love of family, in all that a baby calls upon us to give it.’ 

Matthew Krishnau

In a painting like ‘Preaching’, he is exploring what it is to centre, in a congregation of brown adults and children, “the four nuns and my mother preaching with the two female candle holders and have the men on the sides”. So, “It's all about constructing a world which is both a counterpoint to the world of the two boys and nature, but also a counterpoint to the religious hierarchy we see in the church now”. The ‘Holy Family’ series, “which is of Bengali nuns, priests, and bishops” “is a deliberate response to the white depictions of Christ, baby Jesus, and Madonna”. 

He notes that: “It's part of my painting mission to offer a counterpoint on the widest possible framing of an ‘I-to-you’ axis of a brown child, which isn't seen through the lens of National Geographic or Comic Relief ‘white saviours’, but is taken and centred as the heart of a human story. And if there's any spiritual message, then it's about that; of love, of the divinity of children and babies, and the divinity of our beautiful world, the ecological world of trees, water, glorious sunsets and sunrises, and all that comes with the human form.” 

He thinks that this show has “set up a kind of a world philosophy” for him: “The core, the heart of the show, for me, is family, particularly of my late wife and my daughter. In and amongst the drawings, there are some pictures of our baby, and my late wife holding our baby or, indeed, holding the tree that my daughter is climbing. For me, that is where my faith is, in love, in the love of family, in all that a baby calls upon us to give it. That is the closest thing to divinity. I won't even use the word God because it's too masculine in our language. The closest thing to the divine, I sincerely believe, is in the eyes of children, is in the eyes of babies, particularly.” 

He concludes by saying he would love to expand his practice further in the future, noting “a figure that has really resonated in a way I haven't felt before is the Palestinian priest Revd Munther Isaac and his ‘Christ in the rubble’ sermon”. However, his art always “needs to come from a personal connection to something I've conceptually explored; it needs to have that heart first of immediate one-to-one human connection”. 

 

Matthew Krishanu: The Bough Breaks, 26 April - 23 June 2024, Camden Art Centre, London.

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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