Datificación en contextos de corrupción: imaginarios sociotécnicos y prácticas de resistencia frente a sistemas antipobreza en Colombia

Our study situates the implementation of big data and artificial intelligence, advancing today within the "development data" agenda in the Global South, in Latin American cultures characterized by marked social asymmetries and structural corruption - as heirs of colonization - . It aims to highlight automation problems in systems fed by data historically subject to manipulation or corruption. For this, we examine two failures in the information infrastructures of Colombian social assistance programs (Ingreso Solidario and Sisben) and explore the archive of Latin American critical theory to enlighten datafication in these conditions. Our approach arises from calls to question alleged data universalism and go beyond technocentric views on the operation of these technologies, shifting the focus from the moments when they fail to local sociotechnical imaginary and the political agency of those who resist regulatory control.