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
5 min read

What AI needs to learn about dying and why it will save it

Those programming truthfulness can learn a lot from mortality.

Andrew Steane has been Professor of Physics at the University of Oxford since 2002, He is the author of Faithful to Science: The Role of Science in Religion.

An angel of death lays a hand of a humanioid robot that has died amid a data centre
A digital momento mori.
Nick Jones/midjourney.ai

Google got itself into some unusual hot water in recently when its Gemini generative AI software started putting out images that were not just implausible but downright unethical. The CEO Sundar Pichai has taken the situation in hand and I am sure it will improve. But before this episode it was already clear that currently available chat-bots, while impressive, are capable of generating misleading or fantastical responses and in fact they do this a lot. How to manage this? 

Let’s use the initials ‘AI’ for artificial intelligence, leaving it open whether or not the term is entirely appropriate for the transformer and large language model (LLM) methods currently available. The problem is that the LLM approach causes chat-bots to generate both reasonable and well-supported statements and images, and also unsupported and fantastical (delusory and factually incorrect) statements and images, and this is done without signalling to the human user any guidance in telling which is which. The LLMs, as developed to date, have not been programmed in such a way as to pay attention to this issue. They are subject to the age-old problem of computer programming: garbage in, garbage out

If, as a society, we advocate for greater attention to truthfulness in the outputs of AI, then software companies and programmers will try to bring it about. It might involve, for example, greater investment in electronic authentication methods. An image or document will have to have, embedded in its digital code, extra information serving to authenticate it by some agreed and hard-to-forge method. In the 2002 science fiction film Minority Report an example of this was included: the name of a person accused of a ‘pre-crime’ (in the terminology of the film) is inscribed on a wooden ball, so as to use the unique cellular structure of a given piece of hardwood as a form of data substrate that is near impossible to duplicate.  

The questions we face with AI thus come close to some of those we face when dealing with one another as humans. 

It is clear that a major issue in the future use of AI by humans will be the issue of trust and reasonable belief. On what basis will we be able to trust what AI asserts? If we are unable to check the reasoning process in a result claimed to be rational, how will be able to tell that it was in fact well-reasoned? If we only have an AI-generated output as evidence of something having happened in the past, how will we know whether it is factually correct? 

Among the strategies that suggest themselves is the use of several independent AIs. If they are indeed independent and all propose the same answer to some matter of reasoning or of fact, then there is a prima facie case for increasing our degree of trust in the output. This will give rise to the meta-question: how can we tell that a given set of AIs are in fact independent? Perhaps they all were trained on a common faulty data set. Or perhaps they were able to communicate with each other and thus influence each other.  

The questions we face with AI thus come close to some of those we face when dealing with one another as humans. We know humans in general are capable of both ignorance and deliberate deception. We manage this by building up degrees of trust based on whether or not people show behaviours that suggest they are trustworthy. This also involves the ability to recognize unique individuals over time, so that a case for trustworthiness can be built up over a sequence of observations. We also need to get a sense of one another's character in more general ways, so that we can tell if someone is showing a change in behaviour that might signal a change in their degree of trustworthiness. 

In order to earn our trust, an AI too will have to be able to suffer and, perhaps, to die. 

Issues of trust and of reasonable belief are very much grist to the mill of theology. The existing theological literature may have much that can be drawn upon to help us in this area. An item which strikes me as particularly noteworthy is the connection between suffering and loss and earning of trust, and the relation to mortality. In brief, a person you can trust is one who has ventured something of themselves on their pronouncements, such that they have something to lose if they prove to be untrustworthy. In a similar vein, a message which is costly to the messenger may be more valuable than a message which costs the messenger nothing. They have already staked something on their message. This implies they are working all the harder to exert their influence on you, for good or ill. (You will need to know them in other ways in order to determine which of good or ill is their intention.)  

Mortality brings this issue of cost to a point of considerable sharpness. A person willing to die on behalf of what they claim certainly invests a lot in their contribution. They earn attention. It is not a guarantee of rationality or factual correctness, but it is a demonstration of commitment to a message. It signals a sense of importance attached to whatever has demanded this ultimate cost. Death becomes a form of bearing witness.  

A thought-provoking implication of the above is that in order to earn our trust, an AI too will have to be able to suffer and, perhaps, to die. 

In the case of human life, even if making a specific claim does not itself lead directly to one's own death, the very fact that we die lends added weight to all the choices we make and all the actions we take. For, together, they are our message and our contribution to the world, and they cannot be endlessly taken back and replaced. Death will curtail our opportunity to add anything else or qualify what we said before. The things we said and did show what we cared about whether we intended them to or not. This effect of death on the weightiness of our messages to one another might be called the weight of mortality. 

In order for this kind of weight to become attached to the claims an AI may make, the coming death has to be clearly seen and understood beforehand by the AI, and the timescale must not be so long that the AI’s death is merely some nebulous idea in the far future. Also, although there may be some hope of new life beyond death it must not be a sure thing, or it must be such that it would be compromised if the AI were to knowingly lie, or fail to make an effort to be truthful. Only thus can the pronouncements of an AI earn the weight of mortality. 

For as long as AI is not imbued with mortality and the ability to understand the implications of its own death, it will remain a useful tool as opposed to a valued partner. The AI you can trust is the AI reconciled to its own mortality.