What Hassan's framing establishes institutionally is a problem of category, not calibration. An organization that treats bias as a defect to be patched can deploy a fairness audit, publish corrected benchmark scores, and declare the problem addressed. An organization that accepts Hassan's framing has no equivalent exit — because the inequity lives in who sets the priorities, who sits in governance roles, and whose use cases get resourced. The structural exclusion of the Global South from AI governance is the clearest institutional expression of this: the communities most affected by…