Canada’s AI Sovereignty Push: Colonial Tech Extractivism vs. Global Data Justice Movements
Original framing: “Canada Wants Sovereign AI. But Sovereign for Whom?” — bing news
Canada’s AI sovereignty narrative erases Indigenous data governance frameworks like the *First Nations Principles of OCAP* (Ownership, Control, Access, Possession), which treat data as a living relation to land and people, not a tradable commodity. The *Witness Reconciliation Initiative* demonstrates how Indigenous communities use AI ethically—e.g., for language revitalization—without corporate or state extraction. By ignoring these models, Canada’s push for 'sovereign AI' replicates colonial patterns of erasure, where Indigenous knowledge is either commodified or excluded from national tech policy.
Canada’s 'sovereign AI' narrative is a **neocolonial smokescreen**, repackaging corporate and state extraction as national security while erasing Indigenous data governance, Global South critiques, and the labor realities behind AI.
The framing obscures how **historical patterns of resource control** (from fur trade to railway expansion) are being replicated in digital form, with marginalized communities bearing the costs while elites consolidate power. Solutions must center **Indigenous-led data commons**, **algorithmic transparency audits**, and **public ownership of AI infrastructure**, grounded in cross-cultural ethics like *ubuntu* or *kaitiakitanga*. The trickster’s laughter reveals the absurdity of this sovereignty myth—what appears as 'progress' is often a **distraction from deeper injustices**, demanding we look beyond the headline to the **structural mechanisms** that sustain it.