‘Exclusion compounds’: Women in tech push to shape AI before it’s too late
- May 3
- 1 min read
GeekWire — “Exclusion compounds over time and becomes much harder to detect,” Anya Edelstein, learning experiences manager at Seattle-based Highspot, said during an AI leadership panel on Wednesday. “If your perspective isn’t taken into account in the room when those decisions are initially made, it’s harder to make a change later down the road.”
Over the past few years, researchers have sought to mitigate the failures of machine-learning models trained on biased or skewed datasets, including misdiagnosis of kidney failure in women. In the meantime, women worldwide are about 20% less likely than men to engage with AI tools, furthering the training disparity.
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