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VOL.1 , ISSUE 71OL.1 , ISSUE 71
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significantly higher error rates for people such as AI for precision agriculture in
of color and sometimes up to 30% more Kenya to combat food insecurity, or AI-
leading to misidentification and wrongful powered healthcare diagnostics for
arrests in countries like the US, or prevalent diseases in Nigeria. These
ineffective deployment in diverse initiatives aim to build indigenous AI
populations globally. This demonstrates capabilities reducing reliance on external
how AI when not informed by diverse technologies and fostering self-
cultural and social contexts can perpetuate determination. Finally, it envisions a
and even amplify existing societal biases and decolonized AI future as a catalyst for
injustices. global justice and empowerment. As to
imagine if AI systems were designed
collaboratively with indigenous
communities to preserve endangered
languages or AI tools developed by local
farmers in Southeast Asia to optimize crop
yields and manage water resources directly
addressing climate change impacts. This
requires a fundamental shift from a top-
Thirdly, the article outlines a multi- down extractive model to one based on
faceted approach to achieving AI cocreation, equitable data governance, and
decolonization emphasizing policy reform, shared benefits. For instance, initiatives
localized innovation, and shifts in global promoting open-source AI models and
governance. According to the European federated learning could allow data to
Union's General Data Protection remain localized while still contributing to
Regulation (GDPR) while not explicitly global AI advancements and by actively
decolonial offers a model for robust data dismantling the colonial legacies embedded
protection and individual rights that other within current AI paradigms, we can ensure
regions are now adapting such as Brazil's that the transformative power of AI
LGPD or India's proposed data protection genuinely serves the collective well-being of
bill aiming to assert greater national control all nations fostering a more inclusive and
over data. Crucially, localized innovation is equitable technological landscape for the
emerging in places like Nairobi's “Silicon 21st century.
Savannah” or Lagos's Yaba where startups
and research hubs are developing AI
solutions tailored to local challenges
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