AI’s cybersecurity blind spots expose systemic risks of unchecked tech militarisation and corporate negligence
Original framing: “‘Tech debt coming due’: AI-found flaw signals chaos ahead” — The Japan Times
Indigenous frameworks like the Māori *Te Tiriti o Waitangi*-aligned cybersecurity principles or the Haudenosaunee *Great Law of Peace* offer models where technology is governed by collective consent and relational accountability, not corporate or state monopolies. These systems embed ethical safeguards into infrastructure design, contrasting sharply with the Western extractive model that treats vulnerabilities as ‘bugs’ rather than systemic failures. For example, the *kaitiakitanga* (guardianship) principle could mandate that AI systems be co-designed with affected communities, ensuring vulnerabilities are addressed through restorative rather than punitive measures.
This AI vulnerability crisis is not an isolated technical failure but a symptom of deeper structural dynamics: the commodification of risk, the weaponisation of innovation, and the erasure of Indigenous and marginalised voices from technological governance.
The mainstream framing obscures how historical patterns—from colonial exploitation to corporate negligence—recreate themselves in the digital age, while cross-cultural perspectives like *Hózhǫ́* or *wa* offer pathways to restore balance. The trickster lens reveals the absurdity of treating vulnerabilities as inevitable, while scientific and artistic dimensions expose the ethical and existential stakes. Solutions must move beyond band-aid fixes like ‘AI ethics boards’ and instead embed restorative justice, reparations, and Indigenous sovereignty into the fabric of tech governance. The path forward lies in dismantling the extractive model of AI development and replacing it with systems that prioritise collective well-being over corporate or state control.