Article
AI - Artificial Intelligence
Community
Culture
Education
5 min read

Artificial Intelligence needs these school lessons to avoid a Frankenstein fail

To learn and to learn to care are inseparable

Joel Pierce is the administrator of Christ's College, University of Aberdeen. He has recently published his first book.

A cyborg like figure opens the door to a classroom.
AI in the classroom.
Nick Jones/Midjourney.ai.

Recent worries expressed by Anthropic CEO, Dario Amodei, over the welfare of his chatbot bounced around my brain as I dropped my girls off for their first days at a new primary school last month. Maybe I felt an unconscious parallel. Maybe setting my daughters adrift in the swirling energy of a schoolyard containing ten times as many pupils as their previous one gave me a twinge of sympathy for a mogul launching his billion-dollar creation into the id-infused wilds of the internet. But perhaps it was more the feeling of disjuncture, the intuition that whatever information this bot would glean from trawling the web,it was fundamentally different from what my daughters would receive from that school, an education.  

We often struggle to remember what it is to be educated, mistaking what can be assessed in a written or oral exam for knowledge. However, as Hannah Arendt observed over a half century ago, education is not primarily about accumulating a grab bag of information and skills, but rather about being nurtured into a love for the world, to have one’s desire to learn about, appreciate, and care for that world cultivated by people whom one respects and admires. As I was reminded, watching the hundreds of pupils and parents waiting for the morning bell, that sort of education only happens in places, be it at school or in the home, where children themselves feel loved and valued.  

Our attachments are inextricably linked to learning. That’s why most of us can rattle off a list of our favourite teachers and describe moments when a subject took life as we suddenly saw it through their eyes. It’s why we can call to mind the gratitude we felt when a tutor coached us through a maths problem, lab project, or piano piece which we thought we would never master. Rather than being the pouring of facts into the empty bucket of our minds, our educations are each a unique story of connection, care, failure, and growth.  

I cannot add 8+5 without recalling my first-grade teacher, the impossibly ancient Mrs Coleman, gazing benevolently over her half-moon glasses, correcting me that it was 13, not 12. When I stride across the stage of my village pantomime this December, I know memories of a pint-sized me hamming it up in my third-grade teacher’s self-penned play will flit in and out of mind. I cannot write an essay without the voice of Professor Coburn, my exacting university metaphysics instructor, asking me if I am really saying what is truthful, or am resorting to fuzzy language to paper over my lack of understanding. I have been shaped by my teachers. I find myself repaying the debts accrued to them in the way I care for students now. To learn and to learn to care are inseparable. 

But what if they weren’t? AI seems to open the vista where intelligences can simply appear, trained not by humans, but by recursive algorithms, churning through billions of calculations on rows of servers located in isolated data centres. Yes, those calculations are mostly still done on human produced data, though the insatiable need for more has eaten through most everything freely available on the web and in whatever pirated databases of books and media these companies have been able to locate, but learning from human products is not the same as learning from human beings. The situation seems wholly original, wholly unimaginable. 

Except it was imagined in a book written over two hundred years ago which, as Guillermo del Toro’s recent attempt to capture that vision reminds us, remains incredibly relevant today. Filmmakers, and from trailers I suspect Del Toro is no different here, tend to treat the story of Frankenstein as one of glamorous transgression: Dr Frankenstein as Faust, heroically testing the limits of human knowledge and human decency. But Mary Shelley’s protagonist is an altogether more pathetic character, one who creates in an extended bout of obsessive experimentation and then spends the rest of the book running from any obligation to care for the creature he has made.  

It is the creature who is the true hero of the novel and he is a tragic one precisely because his intelligence, skills, and abilities are acquired outside the realm of human connection. When happenstance allows him to furtively observe lessons given within a loving, but impoverished family, he imagines himself into that circle of growing love and knowledge. It is when he is disabused of this notion, when the family discovers him and is disgusted, when he learns that he is doomed to know, but not be known, that he turns into a monster bent on revenge. As the Milton-quoting monster reminds Frankenstein, even Adam, though born fully grown, was nurtured by his maker. Since even this was denied creature, what choice does he have but to take the role of Satan and tear down the world that birthed him? 

Are our modern maestros of AI Dr Frankensteins? Not yet. For all the talk of sentient-like responses by LLMs, avoiding talking about distressing topics for example, the best explanation of such behaviour is that they simply are mimicking their training sets which are full of humans expressing discomfort about those same topics. However, if these companies are really as serious about developing a fully sentient AGI, about achieving the so-called singularity, as much of the buzz around them suggests, then the chief difference between them and Frankenstein is one of ability rather than ambition. If eventually they are able to realise their goals and intelligences emerge, full of information, but unnurtured and unloved, how will they behave? Is there any reason to think that they will be more Adam than Satan when we are their creators? 

At the end of Shelley’s novel, an unreconstructed Frankenstein tells his tale to a polar explorer in a ship just coming free from the pack ice. The explorer is facing the choice of plunging onward in the pursuit of knowledge, glory, and, possibly, death, or heeding the call of human connections, his sister’s love, his crew’s desire to see their families. Frankenstein urges him on, appeals to all his ambitions, hoping to drown out the call of home. He fails. The ship turns homeward. Knowledge shorn of attachment, ambition that ignores obligation, these, Shelley tells us, are not worth pursuing. Will we listen to her warning? 

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Column
Culture
Digital
Film & TV
Justice
4 min read

Data scientists should stop watching Minority Report and start watching The Shawshank Redemption

A justice ministry’s prejudicial database leaves no room for redemption.

George is a visiting fellow at the London School of Economics and an Anglican priest.

Tom Cruise gestures with his fingers in an e-glove in front of his face
Tom Cruise takes the measure.
20th Century Fox.

The go-to for any news item about using AI to predict crimes before they happen is Steven Spielberg’s Minority Report from 2002, starring Tom Cruise as a futuristic cop, who employs human “precogs” as clairvoyants to get ahead of the villains. 

So, I’m far from the first to name-check it as showing the dystopian future that the UK’s Ministry of Justice heralds with its test project to “explore alternative and innovative data science techniques to risk assessment of homicide.” 

That use of “homicide”, rather than the more British “murder”, is telling, almost like the Ministry wonks have just watched the movie. The pressure group Statewatch has no doubt where they’re heading, with data being used on people who may never have been convicted of an offence and “will code in bias towards racialised and low-income communities.” 

Spielberg was always ahead of the curve. But my fear is less the chilling dystopia that Statewatch sees in its precog. Actually, I’m more worried about the past in this context, or rather in how we treat the past. 

If I haven’t to date done anything wrong, then I have committed no offence. I am literally innocent. And that’s an absolute. An interpretation of data that indicates that I’m more likely to commit a crime than others is neither here (in my conscience) nor there (in the judicial system). 

Furthermore, there’s a theological point. If it is so, as we’re told, that no one is without sin, then we’re all culpable in the pasts that we have lived so far, but the future contains all we have to play for.  

To suggest that some of us are more likely to screw up in that future than others is very dangerously deterministic. It’s redolent of Calvinism’s doctrine of the “elect”, those who have already been marked for salvation and eternal bliss, regardless of what they do or don’t do in this life, while the rest of us, however virtuous our mortal deeds might be, will rot in hell. 

Neither Calvin’s determinism nor the Ministry of Justice’s prejudicial database leave any room for redemption. They’re just trying to identify events that will definitely (the former) or are likely to (the latter) happen. Conversely, we live in hope (for some of us a sure and certain hope) of a future in which we can be redeemed, whatever we have done in the past. 

And that’s why I find Minority Report an unsatisfactory analogy for the development of real-life precrime technology. It is a film that is only about determinism, which leaves no room for either free-will or redemption. And that’s applying a form of intelligence that is truly, er, artificial. 

The vital thing is that hope is fulfilled, the prisoners make it to their paradise after worthless lives spent in jail. Justice is seen to be done.

A more helpful movie, richer in its development of these themes – and not just because it’s got the word that I favour in its title - is 1994’s The Shawshank Redemption, based on a novel by Stephen King. Here we have the idea explored that the past isn’t only irrelevant to our futures, but doesn’t even really exist in time in relation to the future. 

It’s bursting with more religious themes even than Clint Eastwood’s spaghetti westerns, which are really only the righteous saviour turning up to defend flawed goodies from evil baddies, again and again. For a start, The Shawshank Redemption is set in a prison, where whole lives are spent atoning for crimes that have or haven’t been committed. See? 

Lifers who are released after decades struggle to cope or kill themselves. The central character, a messianic figure, lives in hope with his convict friend of reaching a beach in the Virgin Islands, while the prison warden describes himself as “the light of the world”, but is assisted by his prisoners in money-laundering – washing clean – his ill-gotten gains. 

I could go on. But the vital thing is that hope is fulfilled, the prisoners make it to their paradise after worthless lives spent in jail. Justice is seen to be done. But the important thing here is that there is no pre-crime determinism. The future, which often looks hopeless, is rolling out towards the possibility of redemption, which ultimately becomes the only certain reality. 

One can dwell on movie plots too long. They are only, if you’ll excuse the pun, projections of life. But it is nonetheless irritating both that a government department with Justice in its title can believe it worthwhile to explore how it might deploy AI to predict who tomorrow’s criminals are likely to be and its critics condemn it by using the wrong dramatic analogies. 

Minority Report was a dystopian thriller that suggests that the future can only be changed by human intervention. The Shawshank Redemption showed us that inextinguishable human hope is in a future we can’t control, but can depend on.     

Anyone who is interested in justice, especially those who work in a ministry for it, might benefit from downloading it.  

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Since March 2023, our readers have enjoyed over 1,000 articles. All for free. This is made possible through the generosity of our amazing community of supporters.
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