A Framework for Scaling South-South Cooperation

Abstract

The global landscape of artificial intelligence (AI) regimes has historically been stratified by the technological hegemony of the United States and China, creating structural barriers for emerging economies that seek autonomous participation without succumbing to "digital neo-colonialism." This study addresses these geopolitical asymmetries by systematically examining the potential for AI policy alignment between Brazil and India—two pivotal Global South actors occupying a geopolitical "Third Space." The research aims to establish an alternative, scalable regulatory framework that challenges Northern-dominated paradigms by leveraging the strategic complementarity of these emerging powers. Methodologically, this study employs a comprehensive text mining approach to analyze official AI policy documents from both nations spanning the period of 2018–2024. The analytical framework was constructed through data-driven computational processing of Stanford HAI AI Index Reports, utilizing TF-IDF frequency analysis and co-occurrence network analysis across four key dimensions: governance, technology, economy, and education. To ensure methodological rigor across linguistic boundaries, an 'extract-then-translate' protocol was applied to the bilingual corpus, preserving semantic authenticity while ensuring statistical comparability. The empirical analysis reveals a distinct phenomenon characterized as "complementary divergence." Rather than pursuing identical policy models, Brazil and India exhibit structural differences that form mutually reinforcing strengths. Brazil demonstrates strong internal coherence in regulatory frameworks and innovation systems, reflecting a developmental state legacy, whereas India prioritizes digital infrastructure scalability and international cooperation, manifesting a strategy of global networking. Building upon these structural complementarities, this research proposes three concrete standards-based cooperation mechanisms designed to overcome the limitations of existing Northern models (e.g., the EU AI Act): (1) Regulatory-Networking Integration, which combines Brazil’s robust legal/ethical frameworks with India’s extensive diplomatic networks to establish legitimate and scalable standards; (2) Cultural-Diversity Integration, which synthesizes Brazil’s decolonial data sovereignty approach with India’s multilingual infrastructure to create inclusive ethical frameworks suitable for the Global South; and (3) Elite-Mass Education Integration, which merges Brazil’s research excellence with India’s mass skilling initiatives. Ultimately, this dissertation argues that the strategic coordination of Brazil and India’s asymmetrical capabilities offers a viable pathway for "cooperative multipolarity." By shifting the focus from technological catch-up to regime innovation, this study provides a definitive blueprint for developing nations to transition from passive rule-takers to active rule-makers, establishing a unified voice in the reshaping of global digital architectures.