Page 59 - Issue 71

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At first, this article highlights how AI - Secondly, it delves into the critical
far from being neutral often reinforces concepts of data justice and epistemic
existing global power imbalances mirroring sovereignty. Data justice demands a
historical colonial patterns. For instance the reevaluation of data ownership and benefits
vast majority of leading AI companies and for example, consider the vast amounts of
research institutions are concentrated in biometric data collected in developing
North America and Europe with over 60% nations for digital identity programs often

of global AI investment flowing into these by foreign entities raising questions about
regions. This creates a “digital dependency” consent, privacy, and who ultimately profits
where nations in the Global South such as from this data. As well epistemic
many African countries or emerging sovereignty on the other hand challenges the
economies in Southeast Asia become dominance of Western-centric knowledge in
consumers of AI technologies developed AI development. We see this in algorithmic
elsewhere. Their citizens' data from social biases as: facial recognition systems
media interactions to mobile money predominantly trained on datasets of
transactions is often collected and processed lighter-skinned individuals often exhibit
by these foreign-owned platforms effectively
becoming a raw material extracted for profit
and algorithmic refinement without
equitable benefit or local control, as this
dynamic perpetuates a techno-hegemony

where the Global North dictates the terms
of the digital future much like colonial
powers once controlled natural resources.

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