Reflections

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.

Magnifica Humanitas offers us — especially those of us who work in education from a tradition of faith and commitment to justice — a profoundly enriching challenge. It calls us to govern AI with wisdom: to build the structures that protect the dignity of the most vulnerable; to form persons capable of thought and decision; and to ensure that the organization of our own institutions is coherent with what we teach.

In Europe today, a refugee is identified first by a biometric system, before the perilous journey they endured to flee danger is heard. At the United States border, an asylum seeker may be told to seek protection through a phone application before a human being listens to how their rights were violated by violence and persecution that brought them there.

Whom does facial recognition recognize? Who gets recommended for a job by an AI hiring algorithm? How does bias shade the output of an image-generation model? Whose choices are reflected in all of the multifaceted decision-making that is part of generating and deploying AI models?

Honduras is a very vulnerable country. Honduran men and women suffer the impact of this vulnerability on a daily basis. Socio-economically, my country is one of the most unequal in the world. Politically, it is burdened by the burdens of the 2009 coup d'état, such as institutional fragility, corruption, drug trafficking, impunity and the illegitimate re-election of the previous government.