The Algorithm Will See You Now: How AI Is Trained to Dismiss Women
When AI inherits medicine’s blind spots, women’s health becomes data collateral, dismissed, delayed, and “managed well” into systemic invisibility.
Series Overview: Trust, Bias, and the Algorithm: Rethinking AI in Women’s Healthcare
This was a series that I wrote back in March. I am including it here because this Guardian article shows that the issues reviewed in the series are, unfortunately, too accurate. For generations, women have learned to manage their healthcare defensively. To bring binders of documentation. To downplay emotion. To preemptively appear “credible.” To steel themselves for disbelief. The result? A pattern of medical neglect that isn’t accidental, it’s structural. Women are more likely to be misdiagnosed. More likely to be prescribed psychiatric drugs for physical symptoms. More likely to wait longer for pain relief. Less likely to be believed.
What the Series Covered:
The Diagnosis Delay – Why women still aren’t believed, and why AI might change that, or make it worse.
Garbage In, Garbage Out – How biased training data reproduces real-world medical harm.
Can We Build a Better Machine? – What equitable AI design i…
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