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Kasia Chmielinski (they/them) is the Co-Founder of the Data Nutrition Project, an initiative that builds tools to mitigate bias in artificial intelligence, and a fellow at Stanford University focused on building responsible data systems. Previously, they held positions at the United Nations (OCHA), US Digital Service (EOP / OMB), MIT Media Lab, McKinsey & Company, and Google. They are also a purveyor of multimedia stories, and their work has been supported by organizations including the Rockefeller Foundation, Sundance Institute, Vision Maker Media, and NPR. When not thinking about data, Kasia is usually cycling or birdwatching around the Northeastern United States.


Nov 14, 2022

BKC Comment to the FTC on Transparency and Commercial Surveillance

On behalf of BKC and its projects and associates, the Cyberlaw Clinic submitted a comment regarding the FTC's ANPR related to commercial surveillance and data privacy.


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