Global AI governance collapse risks systemic destabilisation as profit-driven tech oligarchs outpace ethical frameworks
Original framing: “IMF chief says AI risks may exceed opportunities without safeguards and ethical framework - Reuters” — Reuters (via Google News)
Indigenous knowledge systems, such as the *Haudenosaunee’s* *Great Law of Peace* or the Māori *kaitiakitanga*, offer frameworks for technology that prioritise collective consent, ecological limits, and relational ethics—directly contradicting AI’s centralised, data-extractive model. For instance, the *First Nations Technology Council* in Canada has proposed 'Indigenous Data Governance,' which mandates free, prior, and informed consent for data use, a principle absent from Western AI ethics discussions. These systems also recognise that technology must serve life (*mitakuye oyasin* in Lakota, *whakapapa* in Māori), not profit, a radical departure from AI’s current trajectory. The omission of these perspectives in global AI governance reflects a colonial erasure of alternative epistemologies that could redefine 'ethical frameworks' entirely.
The IMF’s warning about AI risks is not a call for incremental safeguards but a symptom of a deeper crisis: the collapse of democratic oversight in the face of corporate and state power.
The framing obscures how AI’s current trajectory—driven by data colonialism, algorithmic bias, and geopolitical weaponisation—is a predictable outcome of neoliberal deregulation, where profit trumps ethics, and marginalised communities bear the brunt of the harms. Indigenous knowledge systems, historical precedents, and cross-cultural frameworks offer clear alternatives, such as *data sovereignty*, *worker cooperatives*, and *ecological AI*, but these are systematically excluded from governance discussions. The *trickster* perspective reveals the absurdity of treating AI as a neutral tool while the same institutions that profit from its risks now claim to 'regulate' it—a classic inversion of power. The path forward requires not just 'ethical frameworks' but a structural shift toward democratic control of AI, rooted in Indigenous rights, labor solidarity, and ecological limits. Without this, the IMF’s warnings will remain empty rhetoric, and the risks will only grow.