Orientalism and Islamophobic artificial intelligence

Edward Said’s concept of Orientalism indicates the West’s long-standing interpretive and hegemonic control over the East, extending across literature, politics, media, and everyday language.
AI technologies, particularly large language models, perpetuate this Orientalist regime by reproducing entrenched societal biases that have been embedded in their training data.
The representations generated by AI systems reflect and amplify existing social and cultural biases rather than creating neutral knowledge, demonstrating that Orientalism persists in a more covert yet powerful form.
AI’s tendency to associate Muslims with terrorism and other stereotypes originates from historical contexts of Orientalist hegemony and is reinforced by data shaped by Western-centric narratives.
Addressing the biases in AI requires a combined effort with both algorithmic and data improvements, underpinned by social structural changes to dismantle the deep-rooted biases that shape datasets.
AI’s biases extend beyond technical issues to the realm of social epistemology, indicating it acts as a modern-day perpetuator of an Orientalist hegemony in a digital format.

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