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Short abstract:

This study employs a methodology encompassing literature review, legislative analysis, and policy examination across Latin America, Africa, and Eurasia. Inspired by Couture & Toupin (2018) and Morozov (2018), we aim to reveal nuanced global disparities in big data and AI, through a sovereignty lens.

Long abstract:

Amidst the evolving landscape of big data and artificial intelligence (AI), global disparities between the North and the South are becoming increasingly pronounced. This study proposes a comprehensive international comparative analysis, employing a multi-faceted methodology that includes an in-depth review of existing literature, a thorough examination of legislative frameworks, and a comprehensive analysis of public policies in selected countries across Latin America, Africa (Global South), and Eurasia (Global North). Drawing inspiration from Couture & Toupin (2018) and Evgeny Morozov (2018) regarding digital sovereignty, our research seeks to unveil the nuances in the application of AI technologies and the associated infrastructures in distinct geographical contexts. The literature review will provide insights into existing scholarly perspectives, while the examination of legislation and public policies will help construct a robust framework for comparative analysis.

Additionally, we aim to scrutinize the mechanisms through which value is generated, extracted, and exploited in diverse contexts, employing qualitative and quantitative methods to understand the economic dimensions of AI deployment. Our investigation aims to transcend technological assessments, encompassing a comparative analysis of legislative frameworks and policies to understand their implications on the digital landscape. Through a lens of sovereignty, we will evaluate how turnkey solutions offered by major technology corporations contribute to a widening digital divide and recreate dependencies reminiscent of colonialism and extractivism. By combining literature reviews, legislative analyses, and policy examinations, this study aspires to generate a comprehensive understanding of the global asymmetries in the era of big data and artificial intelligence in different geographical contexts.