Article
Culture
Film & TV
Psychology
5 min read

Who’s missing from Inside Out’s internal family?

Where Riley’s writers could go next.
Cartoon characters of emotions at a control desk.
Inside Riley's head.
Disney.

Once upon a time a man got angry. Then he got angry at himself for the fact that he got angry, which of course didn’t help. As the Buddhist monk Thich Nhat Hanh would say, “If we become angry at our anger, then we will have two angers at the same time.” Similarly, there was an occasion when he got really nervous that he might make a mess of giving a speech, and his nerves became so overwhelming that he delivered the speech badly. A self-fulfilling prophecy, one might say.  

These are not my examples; they are examples given by psychologist Richard Schwartz in his introduction to Internal Family Systems (IFS). This therapy (sometimes also called “parts therapy”) is a form of self-analysis in which participants learn to resist supressing or controlling their difficult thoughts or emotions, the different “parts” of their inner world, and instead adopt a posture of curiosity towards each of them. This posture allows people to be in a beneficial relationship to their emotional lives, rather than being ruled by them.  

Fundamentally, the relationship that emerges is one of compassion, understanding that our thoughts and emotions have a job to do, even the uncomfortable or shameful ones. So, anxiety, for example, guards us from committing social faux pas, whilst joy helps us to keep hold of a sense that life is ultimately worth the living, no matter how hard things get. Even sadness and grief, as much as we fear being overtaken by such emotions, have an important role to play, for example by helping us to define what things and people are most valuable and important to us. 

For those who haven’t seen the Inside Out films, the writers cleverly take this idea of the “internal family” of emotions and create five relatable characters that embody them – Joy, Fear, Sadness, Anger and Disgust. In the first film, we see how these characters interact inside the head of a little girl called Riley. They are helping her to hang on to her sense of self despite the upheaval she experiences in her outside world, when her family relocate to a new city, and she must settle in to a new home and school. In the sequel, we rejoin Riley as she enters the turmoil of puberty, and the five initial characters are abruptly forced to work alongside some new arrivals – the “teenage” crew of emotions: Anxiety, Ennui, Envy, and… the biggie… Embarrassment.  

This Self is transpersonal – it exceeds the boundaries of who we each are as an individual person and connects us to something large.

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When he first developed IFS in the 1980s, Richard Schwartz was, by his own confession, a committed atheist, with what he describes as “a distain for religion”. Schwartz writes of the frustration he felt at that time when several Christians got excited about IFS in its early stages of development. His peer, Robert Harris, even went so far as to publish a book that set out a Christian version of the therapy. Initially, Schwartz felt the biggie – embarrassment – that his therapy was being taken up by Christians. However, as time went on, and as much as Schwartz tried to push aside the spiritual dimension of IFS, he increasingly found that spirituality could not be eliminated from the picture: 

“As I used the model with clients through the eighties and nineties, increasingly they began having what can only be described as spiritual experiences. These vicarious encounters with the mystical profoundly affected my own spirituality and I became interested in Buddhism, Hinduism, Taoism, shamanism, Kabala – everything but Christianity.”

Over time, Schwartz’s antipathy to the relationship between IFS and Christianity began to wane. He saw how much he had been working on the basis of prejudice, limiting his own exploration of Christian ideas in response to some unhelpful encounters he’d had with a few heavy-handed fundamentalists. He made deliberate moves to engage with Christian dialogue partners across the breadth of the tradition and began to see how congruent IFS was with the teaching of Jesus. The posture of curious compassion towards oppressive and uncomfortable emotions that Schwartz was encouraging his clients to adopt was mirrored perfectly in the attitude that Jesus advocated towards “enemies” in the outside world: do not judge, instead seek to engage them with kindness, and work towards their healing.   

In recent decades, Schwartz has come to rethink IFS as an integration of psychology and spirituality, rather than as a form of psychotherapy. He speaks of “spirituality” as an innate essence at the core of each person, which he calls the “Self”, and acknowledges that many of his more religious students prefer to think of this essence as “the soul” or “Atman” (the eternal self within Hinduism). And, whilst he still describes himself as fundamentally agnostic and is wary of making his own definitive religious commitments, he has come to agree that this Self is transpersonal – it exceeds the boundaries of who we each are as an individual person and connects us to something larger.

Screenwriting for a popular audience of all-faiths-and-none, it is perhaps unsurprising that the makers of Inside Out have thus far eschewed the deep and fascinating spirituality of IFS. Riley’s “sense of self” is at the centre of both films, but the way it is depicted implies that it is something that only comes into being at birth and exists entirely to regulate Riley’s engagement with the outside world. So far, there has been no exploration of more existential questions such as faith and eternity. However, the concept of the film is so brilliant, and for a complex idea it is so well executed, that I am sure we can look forward to many more Inside Out films to come. If that is the case, then just as Schwartz found himself going on an unexpected journey of spiritual exploration, the writers of Riley’s may well find themselves doing the same. I, for one, look forward to finding out what Riley discovers.  

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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