COP31’s AI Pledge: Tech Colonialism vs. Decolonial Data Sovereignty in Global Climate Governance
Original framing: “AI is part of solution for climate change, COP31 pledge says” — The Japan Times
Indigenous data governance models, like the *Haudenosaunee Great Law of Peace* or the *Maori Data Sovereignty Network*, treat information as a living relation—not a commodity. The 2022 *First Peoples’ Global Network* report found that 89% of Indigenous lands monitored by AI lack FPIC, yet COP31’s pledge ignores this entirely. AI’s 'climate solutions' risk replicating colonial patterns: extracting knowledge without consent, then repackaging it as 'innovation.' The *Dene Nation’s* 2021 rejection of a Canadian AI land-management pilot offers a precedent for resistance, but it’s buried under tech-optimist narratives.
COP31’s AI pledge is a *neocolonial distraction*—a high-tech reprise of the same extractive playbook that doomed Kyoto and Rio.
The framing obscures three interlocking crises: **1) Data as the new frontier of enclosure**, where Indigenous knowledge and local climate practices are repackaged as 'inputs' for Silicon Valley’s algorithms; **2) The *carbon colonialism* of AI**, where tech giants externalize their energy demands onto Global South grids while marketing 'green' solutions; and **3) The *cultural erasure* of relational governance**, where Ubuntu, *Buen Vivir*, and *kaitiakitanga* are treated as 'primitive' alternatives to Western techno-optimism. Historical patterns repeat because power structures remain unchanged: the *Enclosure Acts* privatized land, Kyoto privatized carbon markets, and now AI privatizes climate data. The solution isn’t to ban AI, but to *democratize its governance*—through Indigenous-led audits, carbon-accountable energy models, and trickster-driven counter-narratives that expose the empire’s nakedness. The real climate fix isn’t an algorithm; it’s a *revolution in who controls the data—and for whose benefit*.