Explainer
AI
Culture
Digital
6 min read

Tech has changed: it’s no longer natural or neutral

The first in a three-part series exploring the implications of technology.

James is Canon Missioner at Blackburn Cathedral. He researches technology and theology at Oxford University.

A caveman holding a hammer looks at a bench on which are a broken bicycle and a laptop.
Nick Jones/Midjourney.ai.

My son was born in February last year and it seems that every day he is developing new skills or facial expressions and adorable quirks. Just the other day he was playing with some wooden blocks and when they inevitably fell over, he let out the most adorable giggle. As you can guess I immediately reached for my phone so that I could capture the moment. Moments like this happen all the time in the life of a modern parent- we want to share with our spouse, family, and friends or just capture the moment for ourselves because it’s something we treasure. And yet, in this series of articles I would like to consider this moment, and the thousands like it that take place in a technological society, and ask: is everything as benign as it seems? 

There are two ideas that often come up whenever people talk about technology. The first is that technology is basically ‘neutral’, that technology only becomes good or bad depending on what you are doing with it. “Look at a hammer,” someone might say, “there is nothing intrinsically good or bad about this hammer, only the end result is good or bad depending on whether I’m using it to hit nails or people!” On this reading of technology, the only important questions relate to the consequences of use.  

If technology is neutral, then the primary concern for users, legislators and technologists is the consequences of technology, and not the technology itself. The only way to ensure that the technology is used for good is to ensure, somehow, that more good people will use the technology for good things than bad people using it for bad things. Often this idea will present itself as a conversation about competing freedoms: very few people (with some important exceptions, see this article from Ezra Klein) are debating whether there is something intrinsically problematic about the app formerly known as Twitter, most discussion revolves around how to maintain the freedom of good users while curtailing the freedom of bad users. 

We assume that these tools of social interaction like Facebook and Instagram are, in and of themselves, perfectly benign. We are encouraged to think this by massive corporations who have a vested interest in maintaining our use of their platforms, and at first glance, they seem completely harmless: what could possibly be the problem with a website in which grandma can share photos of her cat? And while the dark underbelly of these platforms has violent real-world consequences – like the rise of antisemitism and anti-Muslim hatred – the solution is primarily imagined as a matter of dealing with ‘bad actors’ rather than anything intrinsically problematic with the platforms themselves. 

Jobs here draws a straight-line comparison between the bicycle and the PC. As far as Jobs is concerned, there is no quantitative difference in kind between the two tools.

The second idea is related but somewhat different: Advocates of modern technology will suggest that humanity has been using technology ever since there were humans and therefore all this modern technology is not really anything to worry about. “Yes, modern technology looks scary,” someone might say, “but it’s really nothing to worry about, humans have been using tools since the Stone Age don’t you know!” This view proposes that because hammers are technology, and all technology is the same, there is, therefore, no difference between a hammer and the internet, or between the internet and a cyborg.  

This second idea tends to be accompanied by an emphasis on the slow and steady evolution of technology and by highlighting the fact that at every major technological advancement there have been naysayers decrying the latest innovation. (Even Plato was suspicious of writing when that was invented). Taken as part of a very long view of human history, the technological innovations of the last 100 years seem to be a normal and natural part of the evolution of our species which has always set itself apart from the rest of the animal kingdom in its use of technology. 

Steve Jobs gives a good example of this in an interview he gave about the development PC: 

“I think one of the things that really separates us from the high primates is that we’re tool builders. I read a study that measured the efficiency of locomotion for various species on the planet. The condors used the least energy to move a kilometer. And humans came in with a rather unimpressive showing about a third of the way down the list… not too proud of a showing for the crown of creation… But then somebody at Scientific American had the insight to test the efficiency of locomotion for a man on a bicycle. And a human on a bicycle blew the condor away – completely off the top of the charts. 

And that’s what a computer is to me… It’s the most remarkable tool we’ve ever come up with… It’s the equivalent of a bicycle for our minds”  

Notice that Jobs here draws a straight-line comparison between the bicycle and the PC. As far as Jobs is concerned, there is no quantitative difference in kind between the two tools: one is more complex than the other but otherwise, they are just technologies that expand human capacity. “A Bicycle for our minds” is a fascinating way to describe a computer because it implies that nothing about our minds will be changed, they’ll just be a little bit faster. 

And yet, despite the attempts of thought leaders like Jobs to convince us that modern technology is entirely benign, many of us are left with a natural suspicion that there is more going on. As a priest in the Church of England, I often have conversations with parishioners and members of the public who are looking for language or a framework which describes the instinctive recognition that something has changed at some point (fairly recently) about the nature of the technology that we use, or the way that it influences our lives. That modern technology is not simply the natural extension of the sorts of tools that humans have been using since the Stone Age and that modern technology is not neutral but in significant ways has already had an effect regardless of how we might use it. How do we respond to such articulate and thoughtful people such as Steve Jobs who make a compelling case that modern technology is neutral and natural?  

I often have conversations with parishioners who are looking for language or a framework which describes the instinctive recognition that something has changed about the nature of the technology that we use, or the way that it influences our lives.

Thinking back to that moment with my son when he giggles and I take a photo of him, at first glance it seems completely innocuous. But what resources are available if I did want to think more carefully about that moment (and the many like it) which suffuse my daily life? Thankfully there is a growing body of literature from philosophers and theologians who are thinking about the impact of modern technology on the human condition.  In the next two articles I would like to introduce the work of Martin Heidegger, outline his criticism of modern technology, showing how he challenges the idea that technology is simply a natural extension of human capacity or a neutral tool.  

Heidegger is a complex character in philosophy and in Western history. There is no getting around the fact that he was a supporter of the Nazi Party during the second world war. His politics have been widely condemned and rightly so, nevertheless, his insights on the nature of modern technology continue to this day to provide insights that are useful. His claim is that modern technology essentially and inevitably changes our relationship with the world in which we live and even with ourselves. It is this claim, and Heidegger’s suggested solution, that I will unpack in the next two articles. 

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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