Series · Cross-Cutting
The Equity Test
The personal AI ecosystem BML has spent twelve series building depends on assumptions: English speech, broadband access, a Social Security number, a body that matches the training data. Series 13 names the people each assumption excludes, asks who is responsible, and turns the same lens on this publication. The ecosystem does not serve everyone. That is a design choice.
BML-13.01
The AI That Hears You Wrong
Series 13: The Equity Test
Denise Watkins is 68, sharp, and not losing her mind. Her health AI flagged her speech patterns as cognitive anomalies. They are features of African American Vernacular English. She spent a weekend …
BML-13.02
The AI That Costs Too Much
Series 13: The Equity Test
Marvella Johnson's health AI is a man named Raymond. He visits twice a month with a clipboard and a caseload of fifty-four people. The minimum viable AI ecosystem costs more than she has after rent …
BML-13.03
The AI That Doesn't Speak Your Language
Series 13: The Equity Test
Carmen Gutierrez was screened for cognitive impairment in English and flagged as borderline for two years. When she was finally screened in Spanish, the results were definitive MCI, identifiable two …
BML-13.04
The AI That Assumes You Exist
Series 13: The Equity Test
Rosa Mendoza paid taxes in the United States for twenty-eight years on an ITIN. The benefits navigation agent gives her an honest answer: the programs it navigates were designed for someone with a …
