Review
Culture
Film & TV
Trauma
Work
4 min read

Severance: the ins and outs of seeking oblivion

We can't contain trauma to just one sphere of our lives.

Josh is a curate in London, and is completing a PhD in theology.

In a retro-future styled office, workers stand or sit around a pod of desks.
Apple TV.

How far would you go to stop yourself doing late-night emails? Or what would you be willing to do to escape those painful memories? Severance, returning for its second season on AppleTV+, explores an extreme solution to both. 

The show follows a group of office workers at Lumon who have had their memories severed: when outside of work they do not remember what they do at work and when at work they do not know anything about their lives outside. The work-self, referred to as an 'innie', enters the elevator at 5pm and immediately finds themselves back in the elevator at 9am the next day. They feel rested without any memory of the rest. Their "outie" blinks at 9am and then it is 5pm.  

Adam Scott's protagonist, Mark, joined Lumon Industries as a severed employee working in "Macrodata Refinement" (MDR) as a result of losing his wife. In an episode early in the second season, one character recounts Mark telling them that he applied for the role because it felt like he was "choking on her ghost." Being severed offers Mark hours each working day where a version of him can work oblivious to this grief. 

Of course, Mark's employer is up to something sinister, though exactly what remains unclear even to the innies. Lumon is at times terrifying, at times goofy and always unsettling. Innies are mistreated but cannot communicate with their outie beyond what Lumon allows. Even in these conditions, the small MDR team, each with no more than a couple of years' worth of memories, find purpose in their relationships with one another and in seeking to understand their bosses' designs.  

Severance has attracted a lot of attention and reflection. Writing for the Financial Times, Emma Jacobs concludes that the show points us to our impossible longing for a boundaried life. The Northeastern University academic Tomas Elliot proposes that Severance can be read as an inversion of The Matrix: employees knowingly placing themselves in a state of naivety. Jacobs and Elliot both read the show as pointing to the paradoxical nature of modern work as both the cause of discontentment and the place many look to for a sense of purpose and fulfilment.  

Instability cannot be contained to one sphere of life. Life is hard and so is work. Neither can offer escape from the other. 

At the heart of many of the questions that Severance raises is the relationship between work and identity. Most of us live with a sense that who we are is found in our relationships. Work means something because it is one of the places we are most powerfully shaped by and shape relationships with colleagues, competitors, consumers and everyone else. Work becomes destructive when it cultivates destructive relationships in the workplace or when it displaces other forms of community and sources of identity.  

The process of severance  protects outies from the formative power of workplace relationships: their strains and their joys. No doubt we could each imagine benefits to this. However, it leaves Mark's outie paralysed by grief because he has denied himself a key source of relationships through which he could begin to heal, integrating that grief into a new sense of self. 

Just as Mark's innie is protected by the outie's grief, the outie is protected from discovering who he could be without his wife. As the series progresses, it becomes less clear whether Mark's motivation is the fear of grief's crushing burden or the fear that one day the burden may ease.  

In his book Resonance, Hartmut Rosa writes: 

Time and again, human beings come to discover that they can become "different people" in different contexts. And under the highly dynamic conditions of late modernity, the task of finding out who we really are collides… with repeatedly having to "reinvent" and creatively redefine ourselves. That said reinvention also should be "completely authentic" is surely one of the more pointed paradoxes of the present age.  

As Rosa notes, the dynamism of contemporary market forces produces a dynamism in our sense of identity, which can be experienced as instability. One response to this instability—and all the other humiliations and challenges of living at this time—is to look for ways of separating "work" and "life", to carve out a space where I can be free from constant performance and reinvention. And yet, as Severance shows us, whatever part of ourselves we designate as "life" or "outie", it cannot be free from pain and sometimes we will escape to, rather than from, "work".  

Instability cannot be contained to one sphere of life. Life is hard and so is work. Neither can offer escape from the other. Some things must be resisted and some must simply be lived with. Both can only be done together. Ultimately, both can only be done if we are held in and defined by a relationship secure through any failure or loss. Seeking such a relationship is a life's work, for both innies and outies.  

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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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