Explainer
AI - Artificial Intelligence
Belief
Creed
5 min read

Whether it's AI or us, it's OK to be ignorant

Our search for answers begins by recognising that we don’t have them.

Simon Walters is Curate at Holy Trinity Huddersfield.

A street sticker displays multiple lines reading 'and then?'
Stephen Harlan on Unsplash.

When was the last time you admitted you didn’t know something? I don’t say it as much as I ought to. I’ve certainly felt the consequences of admitting ignorance – of being ridiculed for being entirely unaware of a pop culture reference, of being found out that I wasn’t paying as close attention to what my partner was saying as she expected. In a hyper-connected age when the wealth of human knowledge is at our fingertips, ignorance can hardly be viewed as a virtue. 

A recent study on the development of artificial intelligence holds out more hope for the value of admitting our ignorance than we might have previously imagined. Despite wide-spread hype and fearmongering about the perils of AI, our current models are in many ways developed in similar ways to how an animal is trained. An AI system such as ChatGPT might have access to unimaginable amounts of information, but it requires training by humans on what information is valuable or not, whether it has appropriately understood the request it has received, and whether its answer is correct. The idea is that human feedback helps the AI to hone its model through positive feedback for correct answers, and negative feedback for incorrect answers, so that it keeps whatever method led to positive feedback and changes whatever method led to negative feedback. It really isn’t that far away from how animals are trained. 

However, a problem has emerged. AI systems have become adept at giving coherent and convincing sounding answers that are entirely incorrect. How has this happened? 

This is a tool; it is good at some tasks, and less good at others. And, like all tools, it does not have an intrinsic morality. 

In digging into the training method for AI, the researchers found that the humans training the AI flagged answers of “I don’t know” as unsatisfactory. On one level this makes sense. The whole purpose of these systems is to provide answers, after all. But rather than causing the AI to return and rethink its data, it instead developed increasingly convincing answers that were not true whatsoever, to the point where the human supervisors didn’t flag sufficiently convincing answers as wrong because they themselves didn’t realise that they were wrong. The result is that “the more difficult the question and the more advanced model you use, the more likely you are to get well-packaged, plausible nonsense as your answer.” 

Uncovering some of what is going on in AI systems dispels both the fervent hype that artificial intelligence might be our saviour, and the deep fear that it might be our societal downfall. This is a tool; it is good at some tasks, and less good at others. And, like all tools, it does not have an intrinsic morality. Whether it is used for good or ill depends on the approach of the humans that use it. 

But this study also uncovers our strained relationship with ignorance. Problems arise in the answers given by systems like ChatGPT because a convincing answer is valued more than admitting ignorance, even if the convincing answer is not at all correct. Because the AI has been trained to avoid admitting it doesn’t know something, all of its answers are less reliable, even the ones that are actually correct.  

This is not a problem limited to artificial intelligence. I had a friend who seemed incapable of admitting that he didn’t know something, and whenever he was corrected by someone else, he would make it sound like his first answer was actually the correct one, rather than whatever he had said. I don’t know how aware he was that he did this, but the result was that I didn’t particularly trust whatever he said to be correct. Paradoxically, had he admitted his ignorance more readily, I would have believed him to be less ignorant. 

It is strange that admitting ignorance is so avoided. After all, it is in many ways our default state. No one faults a baby or a child for not knowing things. If anything, we expect ignorance to be a fuel for curiosity. Our search for answers begins in the recognition that we don’t have them. And in an age where approximately 500 hours of video is uploaded to YouTube every minute, the sum of what we don’t know must by necessity be vastly greater than all that we do know. What any one of us can know is only a small fraction of all there is to know. 

Crucially, admitting we do not know everything is not the same as saying that we do not know anything

One of the gifts of Christian theology is an ability to recognize what it is that makes us human. One of these things is the fact that any created thing is, by definition, limited. God alone is the only one who can be described by the ‘omnis’. He is omnipotent, omnipresent, and omniscient. There is no limit to his power, and presence, and knowledge. The distinction between creator and creation means that created things have limits to their power, presence, and knowledge. We cannot do whatever we want. We cannot be everywhere at the same time. And we cannot know everything there is to be known.  

Projecting infinite knowledge is essentially claiming to be God. Admitting our ignorance is therefore merely recognizing our nature as created beings, acknowledging to one another that we are not God and therefore cannot know everything. But, crucially, admitting we do not know everything is not the same as saying that we do not know anything. Our God-given nature is one of discovery and learning. I sometimes like to imagine God’s delight in our discovery of some previously unknown facet of his creation, as he gets to share with us in all that he has made. Perhaps what really matters is what we do with our ignorance. Will we simply remain satisfied not to know, or will it turn us outwards to delight in the new things that lie behind every corner? 

For the developers of ChatGPT and the like, there is also a reminder here that we ought not to expect AI to take on the attributes of God. AI used well in the hands of humans may yet do extraordinary things for us, but it will not truly be able to do anything, be everywhere, or know everything. Perhaps if it was trained to say ‘I don’t know’ a little more, we might all learn a little more about the nature of the world God has made. 

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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