  Despite its utopian promises as a disruptive equalizer, AI - like most tools
deployed under the guise of neutrality - has tended to simply reinforce
existing social structures. To counter this trend, radical AI calls for
centering on the marginalized. We argue that gaps in key infrastructure are
preventing the widespread adoption of radical AI, and propose a guiding
principle for both identifying these infrastructure gaps and evaluating whether
proposals for new infrastructure effectively center marginalized voices.
