Article
Character
Comment
5 min read

Work isn’t working, it’s killing us

We mistake the nature of work and our purpose within it.
Two people sit beside each other working on laptops, One looks askance to the other who frowns.
Resume Genius on Unsplash.

What is work for? In our individualist society we perhaps might zoom in on the minutiae of the specific role that we fulfil. Work is for the success of the company I work for, work is for building up my CV, work is to earn money enough to live, work is for seeing people I don’t have to live with. But what about work? The burden that humans have always had to gather enough resources to provide for themselves. We are mistaking the nature of work and our purpose within it, and it is beginning to kill us. 

Each of the recent generations have had different, and askew, attitudes to their work. Baby boomers- those who got a job and a sensible haircut in the 60s, conceived work as a contract. They worked well at almost anything and the reward was home ownership, resources to provide for a family, and saving for leisure. The purpose of their work is the lifestyle it creates. To some extent, their successors in Gen X had the same perception and the same contract- stick at any industry and the reward will be generous enough to make the graft worth it. 

But what happens when that contract is broken? When work no longer leads to those rewards? The Millennial answer is to seek out work that gives purpose, to accept the reward will not be fulfilling and so to find the purpose in the end of the work itself. Even if that means a lifetime of renting and scrimping, because the reward is not to be found in the payment. 

A slow generational drift from the true purpose and boundaries of work has left us confused about its point and struggling to engage. 

The Gen Z answer to this broken contract is the most fascinating of all; a reluctance to work at all. There is ‘quiet quitting’ whereby you do as little as possible whilst remaining employed, ‘bare minimum Mondays,’ and, of course, ‘lazy girl jobs.’ The purported aim of this generation is to find jobs where they can work from home, do almost nothing, and still receive a generous salary. Others are living the ‘soft life.’ They move in with mum and dad (usually boomers who have run the rat race and received the benefits of the contract) and do something creative part-time, earning little but doing little. It's a bit of the old baby boomer attitude seeking pleasure outside work but without the corresponding work ethic or career mindset. 

On top of this is the mental health crisis, which prevents many of Gen Z from working, with one in three non-graduates out of work with mental health conditions. Bosses receive calls from parents of those in their 20s explaining that their children are too unwell to work. 

I suggest that these things are linked, and a slow generational drift from the true purpose and boundaries of work has left us confused about its point and struggling to engage. We must look outside ourselves to understand what work was created for. In Genesis, the Christian origin story, God conceives work as a place of dignity and purpose. What Adam and Eve did in the garden mattered- they were the leaders of creation, and God even gave them the responsibility of naming other creatures. Humans were made to have responsibility, made to express this in their work. Even in the drudgery of repeated physical, administrative, or household tasks, we have the freedom to find purpose. We can take pleasure and pride in making things, fixing things, restoring things, even if just to the state they were in when we cleaned last week.  

Find the purpose in the making, fixing, restoring, the very task itself. 

The ‘quiet quitting’ of Gen Z or the dry contract of the boomers will not cut it. Even in jobs we don’t like, or tasks we find overwhelming, the same reframing is needed, perhaps even more so. Work itself brings purpose, and that is worth giving our whole selves to, otherwise listlessness and sadness will get us. We were made to find purpose and joy in the task of whatever is in front of us, no matter how simple. 

Millennials have swung the pendulum too far in the other direction. Yes, this generation have found the importance of purpose in their work. But only in work that has an end outside of itself. Work has been created with an internal, permanent purpose. Suggesting that meaning only comes from employment with obvious altruistic ends means that any other kind of work, domestic or employed, is devoid of this meaning. The same listlessness ensues in any role not found to have such an end. 

St Paul elevates work explicitly even beyond this created place of purpose. In his letter to a church in Colossae, he writes, ‘Whatever you do, work at it with all your heart, as working for the Lord, not for human masters.’ In other words, work is an act of worship, acting as if the task we are completing is for God, and putting the requisite effort in.  

Of course, this is a massive challenge. How many of us put as much work in to satisfy our bosses as we would if they were the ultimate director of our eternal destiny? But it does redeem those moments where we wonder what the point of what we’re doing is, who will see it, and if it is really worth doing properly at all. God sees. God knows. And that makes it worth doing properly. 

Paul also makes it clear here that work is not just what we get paid for. Work is everything we do that is not rest. Whatever we do - employed, at home, inrelation to our families. And this allows those who cannot work, in an employment sense, to take part in God’s purpose for humanity by working in a way in which they can. Whether it’s caring for a relative, nurturing a tiny veg patch, creating a piece of art, or hoovering the carpet. Find the purpose in the making, fixing, restoring, the very task itself. Do it as if God were watching. And feel yourself become more human. 

Article
AI - Artificial Intelligence
Culture
5 min read

What AI needs to learn about dying and why it will save it

Those programming truthfulness can learn a lot from mortality.

Andrew Steane has been Professor of Physics at the University of Oxford since 2002, He is the author of Faithful to Science: The Role of Science in Religion.

An angel of death lays a hand of a humanioid robot that has died amid a data centre
A digital momento mori.
Nick Jones/midjourney.ai

Google got itself into some unusual hot water in recently when its Gemini generative AI software started putting out images that were not just implausible but downright unethical. The CEO Sundar Pichai has taken the situation in hand and I am sure it will improve. But before this episode it was already clear that currently available chat-bots, while impressive, are capable of generating misleading or fantastical responses and in fact they do this a lot. How to manage this? 

Let’s use the initials ‘AI’ for artificial intelligence, leaving it open whether or not the term is entirely appropriate for the transformer and large language model (LLM) methods currently available. The problem is that the LLM approach causes chat-bots to generate both reasonable and well-supported statements and images, and also unsupported and fantastical (delusory and factually incorrect) statements and images, and this is done without signalling to the human user any guidance in telling which is which. The LLMs, as developed to date, have not been programmed in such a way as to pay attention to this issue. They are subject to the age-old problem of computer programming: garbage in, garbage out

If, as a society, we advocate for greater attention to truthfulness in the outputs of AI, then software companies and programmers will try to bring it about. It might involve, for example, greater investment in electronic authentication methods. An image or document will have to have, embedded in its digital code, extra information serving to authenticate it by some agreed and hard-to-forge method. In the 2002 science fiction film Minority Report an example of this was included: the name of a person accused of a ‘pre-crime’ (in the terminology of the film) is inscribed on a wooden ball, so as to use the unique cellular structure of a given piece of hardwood as a form of data substrate that is near impossible to duplicate.  

The questions we face with AI thus come close to some of those we face when dealing with one another as humans. 

It is clear that a major issue in the future use of AI by humans will be the issue of trust and reasonable belief. On what basis will we be able to trust what AI asserts? If we are unable to check the reasoning process in a result claimed to be rational, how will be able to tell that it was in fact well-reasoned? If we only have an AI-generated output as evidence of something having happened in the past, how will we know whether it is factually correct? 

Among the strategies that suggest themselves is the use of several independent AIs. If they are indeed independent and all propose the same answer to some matter of reasoning or of fact, then there is a prima facie case for increasing our degree of trust in the output. This will give rise to the meta-question: how can we tell that a given set of AIs are in fact independent? Perhaps they all were trained on a common faulty data set. Or perhaps they were able to communicate with each other and thus influence each other.  

The questions we face with AI thus come close to some of those we face when dealing with one another as humans. We know humans in general are capable of both ignorance and deliberate deception. We manage this by building up degrees of trust based on whether or not people show behaviours that suggest they are trustworthy. This also involves the ability to recognize unique individuals over time, so that a case for trustworthiness can be built up over a sequence of observations. We also need to get a sense of one another's character in more general ways, so that we can tell if someone is showing a change in behaviour that might signal a change in their degree of trustworthiness. 

In order to earn our trust, an AI too will have to be able to suffer and, perhaps, to die. 

Issues of trust and of reasonable belief are very much grist to the mill of theology. The existing theological literature may have much that can be drawn upon to help us in this area. An item which strikes me as particularly noteworthy is the connection between suffering and loss and earning of trust, and the relation to mortality. In brief, a person you can trust is one who has ventured something of themselves on their pronouncements, such that they have something to lose if they prove to be untrustworthy. In a similar vein, a message which is costly to the messenger may be more valuable than a message which costs the messenger nothing. They have already staked something on their message. This implies they are working all the harder to exert their influence on you, for good or ill. (You will need to know them in other ways in order to determine which of good or ill is their intention.)  

Mortality brings this issue of cost to a point of considerable sharpness. A person willing to die on behalf of what they claim certainly invests a lot in their contribution. They earn attention. It is not a guarantee of rationality or factual correctness, but it is a demonstration of commitment to a message. It signals a sense of importance attached to whatever has demanded this ultimate cost. Death becomes a form of bearing witness.  

A thought-provoking implication of the above is that in order to earn our trust, an AI too will have to be able to suffer and, perhaps, to die. 

In the case of human life, even if making a specific claim does not itself lead directly to one's own death, the very fact that we die lends added weight to all the choices we make and all the actions we take. For, together, they are our message and our contribution to the world, and they cannot be endlessly taken back and replaced. Death will curtail our opportunity to add anything else or qualify what we said before. The things we said and did show what we cared about whether we intended them to or not. This effect of death on the weightiness of our messages to one another might be called the weight of mortality. 

In order for this kind of weight to become attached to the claims an AI may make, the coming death has to be clearly seen and understood beforehand by the AI, and the timescale must not be so long that the AI’s death is merely some nebulous idea in the far future. Also, although there may be some hope of new life beyond death it must not be a sure thing, or it must be such that it would be compromised if the AI were to knowingly lie, or fail to make an effort to be truthful. Only thus can the pronouncements of an AI earn the weight of mortality. 

For as long as AI is not imbued with mortality and the ability to understand the implications of its own death, it will remain a useful tool as opposed to a valued partner. The AI you can trust is the AI reconciled to its own mortality.