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Kasia Chmielinski is the Co-Founder of The Data Nutrition Project, an initiative that builds tools to improve the health of artificial intelligence through better data.

They are also a technologist at McKinsey & Company and previously worked at The U.S. Digital Service (Executive Office of the President) and Scratch, a project of the MIT Media Lab (Lifelong Kindergarten Group). They studied physics at Harvard University. When not in front of a whiteboard or a keyboard, Kasia can be found cycling uncomfortably-long distances atop a bicycle.


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Science Friday

How Imperfect Data Leads Us Astray

Kasia Chmielinski explains how a popular algorithm used to predict race or ethnicity based on scant personal details ends up creating flawed data.

Aug 6, 2021