Achieving data sovereignty for populations in the Global South requires a combination of robust legal frameworks and international political cooperation. One primary mechanism is the implementation of localized data protection laws, similar to the GDPR, which mandate that data harvested from citizens must be managed according to specific national standards of privacy and consent.
Another essential mechanism is the creation of data trusts or data cooperatives. These entities act as legal intermediaries that manage data on behalf of a community, ensuring that the benefits from AI training are shared equitably and that data use aligns with local cultural values. This prevents extractive data practices where information is taken without compensation or oversight.
Politically, international treaties and digital trade agreements are needed to prevent "data colonialism." These agreements should include provisions for data localization, requiring that data processing occurs within the country of origin, and mandate transparency in how AI models are trained. By combining community-led governance with strong national legislation, nations in the Global South can protect their digital assets and ensure that AI development contributes to their local economic growth rather than just benefiting foreign tech corporations.
