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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 — with potentially far-reaching effects.

"We need to be constantly monitoring and improving our data sets and our models to assess just how far from the truth we believe we are," Chmielinski said.

Read more in Science Friday.