Listen to their stories: five good reads by refugee writers

The very least we owe refugees is the courtesy of listening to their stories. As World Refugee Day approaches, Krish Kandiah calls us to go beyond the headlines and recommends five good reads.

Krish Kandiah

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

Two young brothers sit next to other, the younger looks to the elder.

Hamed Amiri, author of The Boy with Two Hearts, with his brother.

I heard them calling out to me as I walked down the street.

“Hey Paki, why don’t you go black to your own country?!”

I carried on walking. I was 14 years old, and I had heard it all before. In fact, I couldn’t remember a day when I didn’t face a similar verbal barrage at some point. It didn’t get any easier. It always hurt.

When you are told something over and over again, you can start to believe it is true. But I wasn’t from Pakistan. None of my family members were from Pakistan. I had been born in the Sussex County Hospital in Brighton. I had a British passport – as did my parents.

That group of people on the other side of the road were making judgments about me that were entirely wrong. I had to remind myself – like I did every day: they were the ones who were out of place, not me. They were the ridiculous ones, not me.

I flashback to that moment sometimes as immigration persists as a top news story. Most days in the media I hear someone say today’s equivalent of “Hey Paki, why don’t you go back to your own country?! The derision is there, the bigotry, the racism, the aim to exclude and to humiliate, the false assumptions and preconceptions.

It’s time to hear the other side of the story. Who are the refugees that are coming here? Why are they coming? What has happened to them to make them stay in a country that is not always as welcoming as it should be? How does it feel to be an asylum-seeker or refugee in the UK right now? For refugees who have faced not just verbal abuse but physical assault, threats of torture and death the very least we owe them is the courtesy of listening to their stories.

As we approach World Refugee Day on 20th June I would like to recommend you to spend some time listening not just to the polarising rhetoric but those about whom they are talking. The best way is to spend time in person with those who have been forced to flee their homes. The second-best way is to read books written by or about refugees. The following are some of the most powerful I have read recently:

The Lightless Sky by Gulwali Passarly

A book cover shows a the head and body of a person silhouetted against a dusty sky.

This beautifully written book will not only give you fresh insight into life in Afghanistan but will help you understand why there are unaccompanied asylum-seeking young Afghan boys in the UK. Gulwali explains his dangerous childhood in Afghanistan and why his family paid to have him taken out of the country. This book draws you into the world of a young boy proud of his heritage but fleeing a war zone that ripped his family apart. Gulwali’s journey takes him from the mountains of Afghanistan with his grandfather to a rollercoaster of a life in the UK and how he became a carrier of the Olympic torch and an outspoken advocate for refugee rights.

The Boy with Two Hearts by Hamed Amiri

A book cover collage shows two brothers above an outline of one of their heads against a desert background

I saw this gripping tale of Hamed and his family performed at the National Theatre in London. It begins with Hamed’s mother Fariba taking the brave decision to give a public speech against the injustices of the Taliban in Afghanistan. The Taliban issued an execution order against her which would likely have led to her death. The family sell their possessions and head out of Afghanistan to get anywhere they can to safety. There are added complications to their already challenging circumstances as Hussein, Hamed’s older brother needs urgent life-saving heart surgery. It’s a nail-biting story of love and loss told with grace as the family travel across seven countries to find sanctuary finally in Wales.

My Fourth Time, We Drowned by Sally Hayden

A boat used for smuggling migrants is paraded in a protest. Death notices of dead migrants are attached to the side

A boat used for smuggling migrants is paraded in a Berlin protest. Dead migrants are commemorated by death notices attached to its side.

Sally Hayden did not plan to write a book about the world’s most dangerous migration route but when she received direct social media messages from refugees imprisoned in a Libyan detention centre her life was turned upside down. This gritty story has won numerous awards for outstanding journalism and opens up readers eyes to the desperate situation faced by asylum seekers in the Middle East and Europe. Sally writes with great precision and detail and offers a candid and challenging picture of life for those forced to flee from countries such as Sudan, Eritrea, Syria and Afghanistan.

You Don’t Know What War Is by Yeva Skalietska

A book cover shows an illustration of a sunflower against a blue background.

Yeva Skalietska, aged 12, was sleeping soundly in her bed at her grandmother’s house when suddenly she was jolted awake by a noise that sounded like a car being crushed into scrap metal. She soon came to realise that a rocket attack was taking place in her home city of Kharkiv, Ukraine. Her gripping tale of those first few weeks of the Russian invasion told from a child’s perspective somehow brings home the reality of war in a most chilling and urgent way. It made me consider how my children would have dealt with all she had to go through.

No Place Like Home refugee book festival

If you would like to hear refugee authors such as the ones above telling their stories in person, the ‘No Place Like Home’ Literary Festival is taking place on World Refugee Day, 20th June, St Martin-in-the-Fields Church, Trafalgar Square. A full list of speakers, and tickets, subject to availability, can be found in this link.

No Place Like Home

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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.