Latin American perspectives on datafication and artificial intelligence

Abstract

This introductory essay illustrates the context, clarifies the relevance, and outlines the key themes of this Special Issue on “Latin American Perspectives on Datafication and Artificial intelligence”. It starts pointing out that so far, the engagement of Latin American scholarship in the exploration of data technologies and the rise of intelligent systems has been limited. However, it is argued, Latin American traditions in both research and praxis have much to offer to our understanding of the evolution of the information ecosystem. We propose to map different Latin American perspectives on datafication and AI using an analytical matrix structured along two theme lines, that is three building blocks (infrastructure, imaginaries, practices) and three interpretative lenses (decoloniality and race, feminist theory, pluriversal thinking). Then, we reflect on two procedural issues: the need to consider this Special Issue as a conversation-starter, and the importance of having this conversation in multiple languages and in an open access format. We conclude providing an outline of the various contributions of the Special Issue. Authors address algorithms from the south and coloniality, datafication and corruption, data activism, AI and journalism, and platform labor in the context of Latin America and drawing on Latin American theoretical contributions