Article
Culture
Film & TV
Monsters
Weirdness
Zombies
5 min read

Zombies: a philosopher's guide to the purpose-driven undead

Don’t dismiss zombiecore as lowbrow.

Ryan is the author of A Guidebook to Monsters: Philosophy, Religion, and the Paranormal.

A regency woman dabs her mouth with a bloody hankerchief.
Lilly James in Pride and Prejudice and Zombies.
Lionsgate.

Writing from his new book, A Guidebook to Monsters, Ryan Stark delves into humanity’s fascination for all things monsterous. In the second of a two-part series, he asks what and where zombies remind us of, and why they caught the eyes of C.S. Lewis and Salvador Dali 

 

On how Frankenstein’s monster came to life nobody knows for sure, but he is more urbane than zombies tend to be. Nor do Jewish golems and Frosty the Snowman count as zombiecore. The latter sings too much, and both are wrongly formulated. Frosty comes from snow, obviously, and the golems—from mere loam, not what the Renaissance playwrights call “gilded loam,” that is, already pre-assembled bodies, which is a zombie requirement. Tolkien’s orcs function likewise as golem-esque monsters, cast from miry clay and then enlivened by the grim magic of Mordor. We do not, for instance, discover scenes with orc children. 

And neither is Pinocchio a zombie, nor Pris from Blade Runner, but dolls, automatons, and C3POs border upon the land of zombies insofar as they all carry a non-human tint. Zombies, however, carry something else as well, a history of personhood, and so in their present form appear as macabre parodies of the human condition writ large. They are gruesome undead doppelgangers, reminding us of who we are not and perhaps—too—of where we are not. Hell is a place prepared for the Devil and his angels, Christ tells us in the book of Matthew. And maybe, subsequently, for zombies. 

Kolchak, in an episode of Kolchak: The Night Stalker aptly titled “The Zombie,” correctly discerns the grim scenario at hand: “He, sir, is from Hell itself!”  

C.S. Lewis pursues a similar line of thinking in The Problem of Pain: “You will remember that in the parable, the saved go to a place prepared for them, while the damned go to a place never made for men at all. To enter Heaven is to become more human than you ever succeeded in being on earth; to enter Hell is to be banished from humanity. What is cast (or casts itself) into Hell is not a man: it is ‘remains.’” Lewis makes an intriguing point, which has as its crescendo the now-famous line about the doors of Hell: “I willingly believe that the damned are, in one sense, successful, rebels to the end; that the doors of Hell are locked on the inside by zombies.” I added that last part about zombies. 

I make this point—in part—to correct those in the cognoscenti who dismiss zombies as a subject too lowbrow for serious consideration.

Not everyone believes in Hell, of course, yet most concede that some people behave worse than others, which also helps our cause. Indeed, part of zombiecore’s wisdom is to show that bad people often produce more horror than the zombies themselves. Such is the character of Legendre Murder, a case in point from the film White Zombie. Not fortunate in name, Mr. Murder runs a dark satanic mill populated by hordes of zombie workers, which is the film’s heavy-handed critique of sociopathic industrialization. The truth to be gleaned, here, is that zombies did not invent the multinational corporation; rather, they fell prey to it. 

We might think, too, of Herman Melville’s dehumanized characters from Bartleby the Scrivener: Nippers, Turkey, Ginger Nut, and the other functionaries whose nicknames themselves indicate the functions. From an economic standpoint, their value becomes a matter of utility, not essence, which is Melville’s reproach of the despairingly corporate drive to objectify personhood—of which zombies are an example beyond the pale. They might as well be fleshy mannequins, in fact, and as such provide the perfect foil for the human being properly conceived. 

Here, then, is why we do not blame zombies for eating brains, nor do we hold them accountable for wearing white pants after Labor Day, as some inevitably do. They cannot help it—in ethics and in fashion. Perhaps especially in fashion. The best we can hope for in the realm of zombie couture is Solomon Grundy, the quasi-zombie supervillain who holds up his frayed pants with a frayed rope, a fashion victory to be sure, however small it might be, though “zombie fashion” is a misnomer in the final analysis. They wear clothes, but not for the same reasons we do. 

The point holds true for Salvador Dali’s zombies as well, most of whom find themselves in nice dresses. I make this point—in part—to correct those in the cognoscenti who dismiss zombies as a subject too lowbrow for serious consideration. Not so. Exhibit A: the avant-garde Dali, darling of the highbrow, or at least still of the middlebrow, now that his paintings appear on t-shirts and coffee mugs. Burning giraffe. Mirage. Woman with Head of Roses. All zombies, too ramshackle and emaciated to live, never mind the missing head on the last one, and yet there they are posed for the leering eye, not unlike those heroin-chic supermodels from Vogue magazine in the late 1990s. Necrophilia never looked so stylish. 

The zombie’s gloomy predicament bears a striking resemblance to that of the Danaids in the classical underworld, those sisters condemned to fill a sieve with water for all eternity...

But never let it be said that zombies are lazy. They are tired, to be sure. Their ragged countenances tell us this, but they are not indolent. Zombies live purpose-driven undead lives. They want to eat brains, or any human flesh, depending on the mythos, and their calendars are organized accordingly. No naps. No swimming lessons. Just brains.  

But we quickly discern that no amount of flesh will satisfy. There is always one more hapless minimart clerk to ambush, one more sorority girl in bunny slippers to chase down the corridor. In this way, the zombie’s gloomy predicament bears a striking resemblance to that of the Danaids in the classical underworld, those sisters condemned to fill a sieve with water for all eternity, an emblem of the perverse appetite unchecked, which has at its core the irony of insatiable hunger. And as the pleasure becomes less and less, the craving becomes more and more. The law of diminishing returns. So, it is with all vices. The love of money demands more money, and the love of brains, more brains. 

And so, in conclusion, a prayer. God bless the obsessive-compulsive internet shoppers, the warehouse workers on unnecessarily tight schedules, and the machine-like managers of the big data algorithms. God bless the students who sedate themselves in order to survive their own educations, taking standardized test after standardized test. And God bless the Emily Griersons of the world, who keep their petrified-boyfriend corpses near them in the bedroom, an emblem of what happens when one tries too mightily to hold on to the past. And God help us, too, when we see in our own reflections a zombie-like affectation, the abyss who stares back at us and falsely claims that we are not the righteousness of God, as Paul says we are in 2 Corinthians. And, finally, Godspeed to Gussie Fink-Nottle from the P.G. Wodehouse sagas: “Many an experienced undertaker would have been deceived by his appearance, and started embalming on sight.”  

  

From A Guidebook to Monsters, Ryan J. Stark.  Used by permission of Wipf and Stock Publishers.   

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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