Explainer
AI
Culture
Digital
5 min read

How tech harvests our humanity

The second 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.

blue cables converge on a server.

In the first article, I painted a picture of the ordinary person using modern technology, for example, social media on a smart phone. I noted that advocates for modern technology seem to have two basic principles: that technology is natural and neutral. In this next article I want to introduce the philosophy of Martin Heidegger and show how he pushes against these two basic principles and invites us to think again about modern technology. Heidegger’s instinct, as a twentieth century philosopher, is to be suspicious that things are not as they seem, he casts his suspicious gaze over modern technology and sees a way of being that technology encourages that exists underneath the technologies that we use every day. 

What Heidegger wants to show us about modern technology is not related to specific concerns about particular technologies but instead a general suspicion about the ‘essence’ of technology, or, you could say, the spirit of technology. He doesn’t want us to immediately jump to pragmatic questions about how to use technology, as if the primary question is how to make any given technology better or more moral. Instead, Heidegger wants us to take modern technology together as a whole and ask, “What is the essence of this?” Heidegger’s contention is that “technology is not an object or set of objects, nor a way of handling objects with tools, but a form of being the world. It is not something we choose to refuse, but the environment in which modern humans come into existence.”

Heidegger argues that underneath any piece of tech that we might use in our day-to-day lives, technology at its core has already completely changed the way that we as a society understand and interact with the world and everything in it. We live in a technological age and as members of a technological society and so we have been shaped by (to use Christian language, we have been ‘discipled’ by) the spirit of the age to see the world around us. Heidegger suggests that we now see the world as broken down into useable bits that can be categorised and reformed to suit our needs. As Mark Wrathall puts it, the essence of technology is to train us to “experience the world as calling on us or drawing us. To transform everything into stock pieces, so that they can be placed into a vast inventory of options.”[2] Growing up in a technological society means that we see the whole world as an Amazon warehouse a place of seemingly limitless options that can be called upon depending on our needs and quickly delivered.  

A piece of technology such as the smartphone points to a wider ‘spirit’ of technology which intends to position everything, even human beings, as replaceable resources within a larger system. 

The central word that Heidegger uses to describe the essence of technology is gestell which is not an easy word to translate into English, but two possible translations would be ‘positionality’, or ‘enframing’. His point is that the essence of technology is to remove objects, people, and things from their natural environment and position them so that they might become useful, a resource, available for our manipulation. When Heidegger says that the essence of technology is gestell he is pointing to the way that modern technology extracts objects from their contexts and turns them into a quarry to the plundered. There are of course obvious ways in which humanity has always extracted resources from the natural world: we have always quarried for energy (coal, oil etc) or chopped down forests for wood. By claiming that the essence of modern technology is gestell, Heidegger wants us to notice that in the modern world, it’s not just quarries or forests that we mine for resources but now anything and everything can be turned from being a singular object in the world into a recourse for extraction. Everything has become what Heidegger calls “standing reserve.”  

Think again of a smartphone, it is just one of the billions of devices that sit on shelves or, having already been purchased, live in someone else’s pocket. Inside each device are thousands of transistors and circuit boards each of which again are stockpiled in warehouses ready to be replaced if needed or used for some other purpose. Your phone is connected to a network of nodes each of which can be replicated or replaced if needed, no node is unique.  Your latest phone has no unique or prize relation to you, it’s just the latest upgrade which will be recycled in a year or two when the next upgrade becomes available. The person from whom you bought the phone is equally replaceable, just a faceless employee completing a set of controlled and pre-arranged tasks that are designed to be completed by anyone and no one in particular. Likewise, you as the consumer are considered to be little more than “standing reserve” by the companies that supply you with your smartphone and access to their networks. One of many millions of nodes in their system that has been analysed so that your preferences can be expertly mapped to the range of services that they provide. Within that system, you are completely replaceable. A piece of technology such as the smartphone points to a wider ‘spirit’ of technology which intends to position everything, even human beings, as replaceable resources within a larger system: “Every item within this standing reserve is reduced to a position, actively waiting to be called on. Heidegger insists this is no judgment on the radio, the internet, or the smartphone user. It is just the way in which the essence of modern technology interacts with humanity… Heidegger provides a diagnosis of our modern age and the way in which we humans have placed ourselves under the sway of modern technology, as a resource standing within a network which seeks, ultimately, to place, represent, and think of every entity as an object within an all-encompassing system.”

Let’s return to the original thought experiment at the start of the first article: a mother playing with her child, who immediately reaches for her phone to capture the moment when her child does something particularly cute. An advocate for modern technology, like Steve Jobs, may look at that interaction and see only the benefit: a mother wanting to remember a beautiful moment with her child extends the capacities of her brain using a digital tool to aid her memory. But Heidegger would be more suspicious, he would look at that moment and argue instead that the essence of technology is to turn everything, even a precious moment with a cute baby, into a resource to be used at a later date. The unique moment of joy and delight between parent and child becomes caught and codified such that it can be found and replayed at will or easily replicated to send to others. At the extreme end of the spectrum are so-called content creators who reduce themselves to just another resource to be harvested on social media. 

So that is Heidegger’s diagnosis of our technological age, in the final article in this series we will consider Heidegger’s solution and consider what a particularly Christian response to Heidegger’s diagnosis might look like. 

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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