Nothing in AI Is Immaterial. The Genocost of the Digital Age in the DR Congo

Nothing in AI Is Immaterial. The Genocost of the Digital Age in the DR Congo

The inseparable link between those minerals and artificial intelligence haunts my daily life here. I do not approach this link through the archive, but through the ground I was born and raised on. To tell this history is not to complain about a stranger who wrecked our region; it is to take responsibility for what is happening in my country. And so, reading Pope Leo's new encyclical, Magnifica Humanitas (MH), I begin with the question that has long followed me: When will the majority of Congolese finally benefit from their own immense natural wealth, rather than paying for it with their suffering, and, too often, their lives?

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Work without workers? Artificial intelligence, employment, and human society

Work without workers? Artificial intelligence, employment, and human society

The Industrial Revolution asked whether economic progress could be reconciled with workers' dignity. It also challenged the assumption that economic progress is inherently good. Can greater productivity alone be called progress if it comes at the expense of human dignity, social cohesion, or the natural world? More than a century later, artificial intelligence poses a different but equally profound challenge. Machines are no longer transforming only how we produce goods; they are beginning to transform how we think, decide, create, and even relate to one another. The question before us is therefore not merely technological. It is anthropological.

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Corporate Accountability and Supply Chains of Minerals: Lessons Learned from the ‘Conflict Minerals.’

Corporate Accountability and Supply Chains of Minerals: Lessons Learned from the ‘Conflict Minerals.’

Artificial intelligence is often presented as an immaterial technology, yet it rests on a very concrete infrastructure: devices, data centers, and networks whose manufacture requires minerals such as tin, gold, cobalt, lithium, and copper. For this reason, reading AI from the perspective of socio-environmental justice means looking toward the territories where its supply chains begin: communities marked by conflict, precarious economies, ecological damage, and violations of human rights.

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