Why governments need to Do God

A new review has a positive answer to the question should governments ‘do God’. Bex Chapman assesses the Bloom Review and its recommendations.

Bex Chapman

Bex is a freelance journalist and consultant who writes about culture, the church, and both government and governance.

Prime minister Rishi Sunak leans forward out a lounge chair while the Archbishop of Canterbury talks and gestures while sitting on a sofa.

The Prime Minister Rishi Sunak meets with the Archbishop of Canterbury Justin Welby in 10 Downing Street.

Number 10, CC BY 2.0, via Wikimedia Commons.

The former Downing Street spin doctor Alastair Campbell once notoriously interrupted a journalist interviewing his boss, the then-Prime Minister Tony Blair, to prevent him speaking about his faith, saying ‘We don’t do God’.

But we know that many of our politicians do indeed ‘do God’; Gordon Brown was famously a son of the manse, who promised to lead a government with a ‘moral compass’. David Cameron declared that his Christianity existed, albeit that it ‘comes and goes’ like the Magic FM reception in the Chilterns, while Theresa May, also the child of a clergyman, described how her faith in God made her convinced she was ‘doing the right thing’ as Prime Minister.

And Boris Johnson, originally baptised as a Roman Catholic as a baby, went Anglican while at Eton, and then re-crossed the Tiber to become Britain’s first Catholic Prime Minister. Before he left office, he commissioned an independent review to look at how the government should engage with faith groups. Four years later, based on conversations with over 20,000 people, ‘Does government do God?’ has been published. Has the government now admitted it does in fact do God? Or at least, that it would like to?

The review is clear that faith makes a massive contribution to the life of our country. It examines the role of people of faith and places of worship in many areas of society - education, prisons and the probation service, the UK Armed Forces. It does not shy away from showing us that alongside those of real faith seeking to serve their communities there are those who abuse what they call ‘faith’ for their own ends; it looks at faith-based extremism, financial and social exploitation, and forced marriage. Review author Colin Bloom was clear that the issue of forced and coercive marriages should be a top priority for the government, calling it a ‘burning injustice’ that must not be consigned to what he called the government’s ‘too difficult box’.

Public servants currently receive training on the protected characteristics, but Bloom describes faith as ‘the Cinderella protected characteristic’.

He recommends faith literacy in the public sector be improved as it is key to allowing the government to tackle these issues. Public servants currently receive training on the protected characteristics, but Bloom describes faith as ‘the Cinderella protected characteristic’. His report suggests that faith literacy is low across not just across the public sector, but across the country, including the media. Religious literacy training and a new Independent Faith Champion are just two of the 22 recommendations of the review, that go right across government, which government will consider and respond to in due course. At a briefing on the review, Bloom noted that there had been many previous reports with similar recommendations, but that these had not been followed through, adding ‘I just wish that either this Government, or whatever comes next, will be the Prince Charming that will take this Cinderella to the ball’.

So why does government need to be more aware of, and more willing to engage with, people with faith? This report’s key message is that faith is an ‘overriding force for good’. One respondent told the review:

‘Imagine if churches and other places of worship removed their time, money, creativity and energy from public life… What would happen to the army of volunteer chaplains in prisons, universities and hospitals?’.

From over 21,000 responses, the majority of people who contributed to the review research were clear that faith and religion are beneficial for society. Over half of respondents gave faith and religion a 10 out of 10 rating for contribution to society, and over 84 per cent scored the social contribution as positive.

The priest and psychologist Henri Nouwen spoke about how, for Christians, action is a grateful response that flows from our awareness of God’s presence in this world. Jesus’s whole ministry was a great act of thanksgiving to his heavenly Father. Nouwen observed that:

‘Teresa of Avila built convents as if she would never get tired; Martin Luther King, Jr., preached, planned, and organized with an unquenchable zeal; and Mother Teresa of Calcutta is fearlessly hastening the coming of the Lord with her care for the poorest of the poor’.

There are thousands of examples of how faith has motivated people to change the world around them for the better. The Bloom review cites the Mildmay Mission Hospital in London as just one example. Established as a Christian response to the cholera outbreak in the 1860s, it became one of the world’s leading centres in care for people living with HIV and AIDS and continues to be ‘an organisation that derives inspiration from its faith-based values’.

Faith that changes lives is not just something from the past. The recent census showed us that there are still more people in the UK who have a faith than not. The religious landscape of the UK may have changed hugely since Alastair Campbell declared that ‘We don’t do God’. It is now far more diverse, arguably now even more exciting. Faith still makes a difference, changes lives, builds communities. Mr Bloom concludes that ‘without faith, places of worship and people of faith, this country would be poorer, blander, and less dynamic’. Faith, he says, is a force for good that government should do more to understand. The government should indeed do God. And this review and its recommendations suggest there is lots of room for improvement in just how they do it.

Article

AI - Artificial Intelligence

Comment

21 June 2024

4 min read

It's our mistakes that make us human

What we learn distinguishes us from tech.

Silvianne Aspray

Silvianne Aspray is a theologian and postdoctoral fellow at the University of Cambridge.

A man staring at a laptop grimmaces and holds his hands to his head.

Francisco De Legarreta C. on Unsplash.

The distinction between technology and human beings has become blurry: AI seems to be able to listen, answer our questions, even respond to our feelings. It becomes increasingly easy to confuse machines with humans. In this situation, it is increasingly important to ask: What makes us human, in distinction from machines? There are many answers to this question, but for now I would like to focus on just one aspect of what I think is distinctively human: As human beings, we live and learn in time.

To be human means to be intrinsically temporal. We live in time and are oriented towards a future good. We are learning animals, and our learning is bound up with the taking of time. When we learn to know or to do something, we necessarily make mistakes, and we take practice. But keeping in view something we desire – a future good – we keep going.

Let’s take the example of language. We acquire language in community over time. Toddlers make all sorts of hilarious mistakes when they first try to talk, and it takes them a long time even to get single words right, let alone to try and form sentences. But they keep trying, and they eventually learn. The same goes with love: Knowing how to love our family or our neighbours near and far is not something we are good at instantly. It is not the sort of learning where you absorb a piece of information and then you ‘get’ it. No, we learn it over time, we imitate others, we practice and even when we have learned, in the abstract, what it is to be loving, we keep getting it wrong.

This, too, is part of what it means to be human: to make mistakes. Not the sort of mistakes machines make, when they classify some information wrongly, for instance, but the very human mistake of falling short of your own ideal. Of striving towards something you desire – happiness, in the broadest of terms – and yet falling short, in your actions, of that very goal. But there’s another very human thing right here: Human beings can also change. They – we – can have a change of heart, be transformed, and at some point in time, actually start to do the right thing – even against all the odds. Statistics of past behaviours, do not always correctly predict future outcomes. Part of being human means that we can be transformed.

Transformation sometimes comes suddenly, when an overwhelming, awe-inspiring experience changes somebody’s life as by a bolt of lightning. Much more commonly, though, such transformation takes time. Through taking up small practices, we can form new habits, gradually acquire virtue, and do the right thing more often than not. This is so human: We are anything but perfect. As Christians would say: We have a tendency to entangle ourselves in the mess of sin and guilt. But we also bear the image of the Holy One who made us, and by the grace and favour of that One, we are not forever stuck in the mess. We are redeemed: are given the strength to keep trying, despite the mistakes we make, and given the grace to acquire virtue and become better people over time. All of this to say that being human means to live in time, and to learn in time.

So, this is a real difference between human beings and machines: Human beings can, and do strive toward a future good.

Now compare this to the most complex of machines. We say that AI is able to “learn”. But what does it mean to learn, for AI? Machine learning is usually categorized into supervised learning, unsupervised and self-supervised learning. Supervised learning means that a model is trained for a specific task based on correctly labelled data. For instance, if a model is to predict whether a mammogram image contains a cancerous tumour, it is given many example images which are correctly classed as ‘contains cancer’ or ‘does not contain cancer’. That way, it is “taught” to recognise cancer in unlabelled mammograms. Unsupervised learning is different. Here, the system looks for patterns in the dataset it is given. It clusters and groups data without relying on predefined labels. Self-supervised learning uses both methods: Here, the system uses parts of the data itself as a kind of label – such as, for instance, predicting the upper half of an image from its lower half, or the next word in a given text. This is the predominant paradigm for how contemporary large-scale AI models “learn”.

In each case, AI’s learning is necessarily based on data sets. Learning happens with reference to pre-given data, and in that sense with reference to the past. It may look like such models can consider the future, and have future goals, but only insofar as they have picked up patterns in past data, which they use to predict future patterns – as if the future was nothing but a repetition of the past.

So this is a real difference between human beings and machines: Human beings can, and do strive toward a future good. Machines, by contrast, are always oriented towards the past of the data that was fed to them. Human beings are intrinsically temporal beings, whereas machines are defined by temporality only in a very limited sense: it takes time to upload data, and for the data to be processed, for instance. Time, for machines, is nothing but an extension of the past, whereas for human beings, it is an invitation to and the possibility for being transformed for the sake of a future good. We, human beings, are intrinsically temporal, living in time towards a future good – which machines do not.

In the face of new technologies we need a sharpened sense for the strange and awe-inspiring species that is the human race, and cultivate a new sense of wonder about humanity itself.