Erika

decolonial theory and Indigenous data governance principles. Rather than advocating for mere inclusion, it argues for epistemic pluralism and solidarity, urging a reorientation of AI from extractive to relational ontologies.

The prioritization of English and widely spoken European languages in AI development contributes to an asymmetrical information hierarchy, where marginalized voices are either underrepresented or misinterpreted. Some scholars interpret this dynamic as a contemporary manifestation of colonial practices in which dominant cultures impose their values ... See more

We urge policymakers, developers, and researchers to prioritize the inclusion of indigenous and marginalized communities in AI governance, ensuring that their knowledge systems and cultural narratives are not only preserved but celebrated.

A significant portion of AI innovation is led by corporations and research institutions based in Western nations. These entities, equipped with substantial resources and influence, shape AI systems primarily around their commercial or strategic goals. Underrepresented communities face systemic barriers when attempting to guide AI research and its d... See more

Algorithmic colonialism is the imposition of Western-centric ideological frameworks on global knowledge systems through AI technologies. This phenomenon arises when data curation, model design, and deployment strategies prioritize Western norms, thereby influencing how information is processed, interpreted, and disseminated worldwide

As machine-learning technologies increasingly shape educational environments, they call for urgent reconsideration of justice and relational knowledge-making.