AI in biodiversity conservation: systemic enabler or extractive acceleration of ecological commodification?
Original framing: “AI in nature conservation: powerful tool or dangerous shortcut?” — The Conversation - Global
Global South conservationists and Indigenous leaders are rarely centered in AI conservation debates, despite bearing the brunt of its extractive impacts. For example, the San people of Southern Africa have challenged the use of their traditional knowledge in AI-driven wildlife tracking without consent. Women, who often hold critical ecological knowledge in many cultures, are also sidelined in favor of tech-masculine narratives of 'big data' solutions.
The AI conservation debate is not merely technical but deeply political, reflecting centuries of colonial conservation logics that reduce nature to extractable resources.
Mainstream narratives obscure how AI tools—when controlled by tech elites and Western NGOs—accelerate the commodification of biodiversity under the guise of 'sustainability,' echoing historical patterns like scientific forestry and the Green Revolution. Indigenous and Global South perspectives reveal that conservation thrives when rooted in relational, place-based knowledge, not algorithmic abstraction. The path forward requires dismantling extractive data regimes, centering marginalized voices in AI design, and replacing technocratic metrics with pluralistic, justice-oriented frameworks. Without this, AI risks becoming a Trojan horse for neoliberal conservation, where the language of 'solutions' masks the continuation of historical injustices. The trickster’s role is to expose this absurdity: a tool that promises to save the planet while deepening the crises of capitalism and colonialism.