Toward the Pluriversal Machine

A pluriversal AI would differ structurally from the current AI architecture along four dimensions Escobar's framework identifies as constitutive of any pluriversal practice. First, the pluralization of design — distributing design authority beyond the concentrated corporate contexts where foundational decisions are currently made. Second, the pluralization of knowledge — expanding training paradigms to include forms of knowing the current paradigm cannot capture. Third, the pluralization of evaluation — developing criteria that reflect the priorities of the diverse communities the tools claim to serve. Fourth, the pluralization of governance — creating institutional mechanisms that give affected communities genuine decision-making power over AI systems.