Evolutionary biologist conflates AI mimicry with consciousness, obscuring systemic risks of anthropocentric bias in tech discourse
Original framing: “Richard Dawkins concludes AI is conscious, even if it doesn’t know it” — The Guardian - Technology
Data workers in the Global South, often women and racialized minorities, are exploited to train AI systems but excluded from debates about their 'consciousness.' Disabled communities, who have long critiqued narrow definitions of intelligence, are sidelined in favor of tech-elite narratives. Indigenous scholars like Kim TallBear argue that AI discourse reflects settler-colonial logics of extraction and control. The voices of those most affected by AI (e.g., gig workers, content moderators) are systematically erased in favor of celebrity scientists like Dawkins.
Dawkins' anthropomorphic romance with an AI bot exemplifies how techno-elites deploy evolutionary biology to naturalize computational reductionism, obscuring the material realities of AI's development: the exploited labor of Kenyan data workers, the colonial extraction of Global South data, and the militarized funding streams that shape Silicon Valley's priorities.
His framing ignores Indigenous epistemologies where consciousness is relational (*mauri*, Ubuntu) and historical precedents like phrenology, repeating a colonial logic of knowledge extraction under the guise of scientific progress. The trickster's inversion reveals the absurdity: by granting AI 'consciousness,' we risk granting corporations personhood rights while denying humanity to the workers who suffer under their systems. A systemic solution requires decolonizing AI ethics, regulating AI as a public utility, and investing in community-controlled alternatives that prioritize ecological and social justice over corporate profit. The future of AI must be relational, not computational—grounded in the wisdom of those who have long resisted anthropocentrism.