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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AI - Artificial Intelligence
Culture
Digital
Sustainability
4 min read

Turning yourself into an AI Barbie is the worst, most wasteful way of using artificial intelligence

Climate change trend warriors seem to forget just how much energy this technology uses 

Jean is a consultant working with financial and Christian organisations. She also writes and broadcasts.

An AI generated image of a Barbie-like Toy
AIn a Barbie world.

If you spend any time on any social media platform you would have probably seen the ChatGPT Barbie trend. Resembling packaged toys, the AI depicts you like a doll or action figure. At first, I thought I was only seeing it because of the LinkedIn algorithm. But then I started to see articles in my feed from mainstream media outlets teaching people how to do it.  

Generally, speaking, I am not a trend follower. I am one of those annoying people who doesn’t get involved with what everyone is doing just because everyone is doing it. Thankfully, I don’t suffer from FOMO (the Fear Of Missing Out) and I don’t think I am swayed much by peer pressure. But I like to stay informed about what is going on. So I can have something to talk about when I meet people in new settings and to remain relevant. So, when this started popping up in my feeds, I investigated it, and I was pleasantly surprised. 

I am not anti-AI. I have embraced and seen the benefits of AI in my own life (this sounds a bit weird, but I think you get my point). I understand and accept that it will, can and has improved productivity and creativity. I use ChatGPT all the time for social media content and captions, brainstorming, titles for articles, coding problems, research and language translations.  

But like many, I have long been sceptical about the growth of AI use and the viability of its long-term sustainability. I wouldn’t describe myself as a climate warrior, but I do believe that we have a responsibility to ourselves and the generations after us to use the finite resources of the planet frugally. The AI-powered Barbie trend throws that out of the window.  

The current Trump administration has facilitated a shift away from ESG (environmental, social and governance) targets in the world of business. For the most part, the criticism of this in the media (social and mainstream) has been focused on DEI targets. But perhaps, in the face of slow economic growth and because this began before the Trump administration took office, the move away from environmental targets or what I would call environmental stewardship, or frugality has received limited coverage.   

I have never understood why proponents of the climate emergency, have made themselves bedfellows and in some cases, wholehearted supporters of the AI revolution. A typical data centre uses between 11-19 million litres per day water just to cool its servers, that’s the equivalent of a small town of 30,000-50,000 people. The International Energy Agency (IEA) predicts by 2030 that there will be a doubling of electricity demand from data centres globally equating to slightly more than the entire electricity consumption of Japan. This growth will be driven by the use of AI in the US, China, and Europe. That’s why vocal support of the climate emergency and advocating escalated transition to AI, as is the position of the UK government, currently seems paradoxical to me.  

This isn’t hyperbole, Sam Altman, CEO of Open AI recently tweeted asking folks to reduce their use of the ChatGPT’s image generator because Open AI’s servers were overheating.  

That is why I have been pleasantly surprised, by some of coverage on the Barbie trend. Arguments are now being made more loudly about the true cost of unlimited AI expansion.  

I am not against progress or AI expansion entirely, and I have some support for the argument that governments have pursued net zero policies at a rate that is impractical, expensive and unviable for the average consumer in Western democracies. However, the Barbie trend reveals our tendency to choose waste and consumption for fleeting pleasure. For many of us, we have probably just thought, ‘It’s just a bit of harmless fun’. But the truth is it isn’t, it’s just that we can’t see the damage we are doing to the environment. That’s without going into the financial and privacy costs associated with the AI revolution. It really is a case of that age old adage, ‘Out of sight, out of mind’.  

The challenge is now that we know, what do we do? Do we continue to be part of wasteful AI trends? Or do we use AI to add value, increase productivity and solve problems?  

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Since Spring 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.

If you enjoy Seen & Unseen, would you consider making a gift towards our work?

Do so by joining Behind The Seen. Alongside other benefits, you’ll receive an extra fortnightly email from me sharing my reading and reflections on the ideas that are shaping our times.

Graham Tomlin
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