In the hype of A.I., we are observing a world where States are increasingly adopting algorithmic decision-making systems altogether with narratives that portray them as a magic wand to “solve” social, economic, environmental, and political problems. But in practice, instead of addressing such promise, the so-called Digital Welfare States are likely to be deploying oppressive algorithms that expand practices of surveillance of the poor and vulnerable; automate inequalities; are racist and patriarchal by design; further practices of digital colonialism, where data and mineral extractivism feed Big Tech businesses from the Global North; and reinforce neoliberal practices to progressively drain out social security perspectives. While much has been discussed about “ethical”, “fair,” or “human-Centered” A.I., particularly focused on transparency, accountability, and data protection, these approaches fail to address the overall picture.

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