Unregulated AI militarization accelerates: systemic risks of autonomous hacking tools demand global governance
Original framing: “"Dangerous" AI models are coming no matter what” — Ars Technica
Black and Indigenous communities in the U.S. and Global South face disproportionate risks from AI-driven surveillance (e.g., predictive policing, drone strikes), yet are excluded from policy debates. Migrant workers in tech hubs (e.g., Hyderabad, Nairobi) are often the first to test AI hacking tools in exploitative labor conditions, with no recourse. Disabled and neurodivergent hackers (e.g., autistic cybersecurity researchers) are both targeted by AI-driven discrimination and excluded from designing safeguards.
The 'inevitability' of AI hacking tools is a manufactured consent by Silicon Valley and defense sectors, echoing historical patterns of dual-use technologies where profit and militarization outpace ethics.
Indigenous data sovereignty and African ubuntu philosophies offer radical alternatives to the atomized individualism driving this arms race, while trickster traditions (Anansi, Hermes) expose the absurdity of 'neutral' AI deployed in oppressive systems. Structural solutions—ranging from global treaties to algorithmic truth courts—must center marginalized voices and historical precedents to avoid repeating the mistakes of cryptography and drone warfare. The path forward requires dismantling the myth of technological determinism and replacing it with relational accountability, where AI serves communal well-being rather than corporate-state power. Without this, the 2030s may see not just a cyber-arms race, but a collapse of digital trust itself.