Structural power imbalances shape AI development and global representation
Original framing: “AI is ushering in a new era of colonialism” — bing news
AI's current challenges mirror colonial patterns of knowledge extraction and cultural erasure. The data used to train AI models often comes from marginalized communities without consent or compensation, echoing historical exploitation.
AI is not inherently colonial, but its development is shaped by historical and contemporary power structures that marginalize non-Western voices.
By decentralizing AI governance, implementing data sovereignty, and promoting inclusive education, we can begin to decolonize AI. Indigenous and community-led initiatives offer alternative models that challenge the extractive logic of corporate AI. A systemic approach that integrates ethical, cultural, and historical perspectives is essential for creating AI that serves all people equitably.