Article
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Middle East
4 min read

The harsh reminder of our common humanity

Iran’s latest sanctions on protestors are a harsh reminder of the importance of diversity, solidarity and our common humanity, writes Krish Kandiah.

Krish is a social entrepreneur partnering across civil society, faith communities, government and philanthropy. He founded The Sanctuary Foundation.

A protester holds a red placard bearing the name and image of Mahsa Amini

It has been a year since the widespread protests across Iran sparked by the death of Mahsa Amini. The courageous 22-year-old was killed in prison for refusing to wear the hijab headscarf. To mark the anniversary of her death the Iranian government issued new legislation increasing the punishment to women who are deemed “inappropriately dressed” from a previous punishment of 10 days in prison to a maximum 10-year incarceration sentence.  

According to the World Economic Forum, Iran is ranked 140 out of 144 countries in the area of gender equality. Iran’s current leadership suppresses not just the clothing of women but their voices, skills, perspectives and decisions too. Women choosing to forego the hijab had previously been a way to peacefully push back on the inequality they are facing. This symbolism of resistance is now not only forbidden, but criminal. Even business owners who serve women who are not wearing the hijab are liable for prosecution under the new laws.  

As a father of three daughters, I find Iran’s new laws deeply disturbing.  I cannot even imagine the desperation of Amjad Amini, Mahsa’s father, who this week was put in prison in an attempt to short-circuit any protests of his daughter’s death. He faces not just the trauma of the state murder of his daughter, the risk to his own life and the inability to grieve in peace, but also the devastating consequence of her death on 49 million other women in Iran with the tightening of the very laws his daughter was protesting against.  

It could learn a lot from Jesus who went out of his way to welcome those that others looked down on. 

As a Christian I find these oppressive laws deeply troubling too. One of the most revolutionary marks of the Christian faith is that it recognises the absolute equality and intrinsic value of all human beings. No matter what our age or race or gender or sexuality or nationality or ability or immigration status or political persuasion or faith, all are made in the image of God. I believe it is therefore an essential element of my faith to speak up for the rights of my fellow human beings, particularly when they are being marginalised, tyrannised, dehumanised or disempowered.  

This means the oppression of Muslim women in the Middle East matters to me. Although we come from different cultures, live on different continents and hold different views about God and how to worship him, I believe we are connected by our common humanity.  

Sadly, our common humanity is not always recognised either by Christians or those outside of the church. The church in the UK has too often been guilty as charged for misogynist, homophobic and racist attitudes. It could learn a lot from Jesus who went out of his way to welcome those that others looked down on. He was not afraid to face criticism for spending time with those the religious folk of the time had traditionally mistreated. It is time for the church to follow his example and take a lead in treating everyone with compassion and in standing up for the basic human rights of women, those in the LGBT community, and those from other countries.  

Our common humanity is becoming overlooked too in our polarised world as it further divides over identity politics. There is a developing norm to focus less on the things that unite us and more on what differentiates us. Our latest culture wars are pitting women’s rights against trans rights, telling us that the rights of black people are opposed to the rights of white people, or that the rights of immigrants are at odds with the rights of settled passport-holders. But that is not the way things have to be or should be.  

I believe that the opposite is true: that the world can be better for all of us, that there is strength in solidarity, that diversity is genuinely good for everyone.  

This is why I recently turned up at a campaign calling for the rights of Afghan women and girls to be respected, why I publicly advocate for refugees and care-experienced young people, and why I insisted on greater representation of the LGBT community in my work with government. This is why I offer race and faith literacy training to government bodies, churches and businesses. This is why I have opened up my home to foster children and refugee families. This is why I set up my charity, Sanctuary Foundation, to advocate for those who do not feel safe in their own country. This is why I call the church to action and compassion for all whose rights have been taken away or are being eroded. This is why, in as far as it depends on me, I will champion equality for all.  

And this is why I will continue to be calling on the government to open safe and legal routes for all those who are being oppressed and persecuted in the countries where they live. I would like the government to offer our country as sanctuary to women from Iran whose lives are endangered, whose human rights are being denied. I would like our country to offer asylum and hospitality to those who have had to flee Iran after daring to challenge the brutality of the current regime. I would like our churches to lead the way in warmly welcoming all those from Iran and anywhere else who have never experienced unconditional love and acceptance.  

Article
AI
Comment
4 min read

It's our mistakes that make us human

What we learn distinguishes us from tech.

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.