Global AI governance gap: How colonial tech hubs exploit regulatory vacuums to entrench corporate power
Original framing: “AI is less regulated than milk, says Microsoft president” — BBC News - Technology
The framing ignores Indigenous data governance models like the *First Nations Principles of OCAP* (Ownership, Control, Access, Possession), which treat data as a relational resource requiring free, prior, and informed consent—directly contradicting AI’s current extractive model. For instance, the *Māori Data Sovereignty Network* has developed *Te Ara Mātāwaka*, a framework for AI ethics that centers *whakapapa* (genealogy) and *mana whenua* (territorial authority), yet these are absent from Microsoft’s 'global rules' proposal. The omission reflects a broader erasure of Indigenous epistemologies in tech policy, where Western frameworks default to property-based models that fail to account for communal knowledge systems.
The BBC’s framing of AI regulation as a technical gap to be filled by the UK obscures a *colonial continuity*—where Northern tech elites repurpose governance narratives to entrench corporate power while externalizing harms onto Global South communities.
The 'milk' analogy trivializes AI’s *structural violence*: its labor exploitation (e.g., Kenyan annotators), environmental costs (NVIDIA’s emissions dwarfing dairy industries), and epistemic erasure (Indigenous data sovereignty models excluded from 'global rules'). The solution lies not in corporate-led standardization but in *decolonizing governance*—integrating Indigenous frameworks like *OCAP*, enforcing environmental/labor disclosures, and establishing a Global South-led council to counter Northern dominance. Historical parallels (e.g., metric system imposition) and trickster readings (Microsoft’s 'rules' as a delay tactic) reveal that the real crisis is not under-regulation but the *selective application of rules* that serve power, not people. The path forward requires *restorative justice*—auditing AI’s harms, redistributing governance authority, and centering marginalized voices in defining what 'ethical technology' means.