Misrepresentation or underrepresentation in data sets can l… - Rediet Abebe

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Misrepresentation or underrepresentation in data sets can lead to invisibility which can perpetuate or even amplify social and economic disparities.

Rediet Abebe

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About Rediet Abebe

Rediet Abebe (Amharic: ረድኤት አበበ) is an Ethiopian computer scientist working in algorithms and artificial intelligence. She is an Assistant Professor of Computer Science at the University of California, Berkeley. Previously, she was a Junior Fellow at the Harvard Society of Fellows.

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Originators like Rediet Abebe:

Richard Hamming Donald Knuth Nana Aba Appiah Amfo Edsger W. Dijkstra Donella Meadows

Additional quotes by Rediet Abebe

Ambiguity is a bug in mathematics. If I give you a proof and it’s vague, then it’s not complete. On the algorithmic side of things, it forces you to be very explicit about what your goals are and what the input is.

Math and theoretical computer science force you to be precise.

I never thought of myself as someone who works in education but somehow I keep coming back to it so there’s got to be something there.

Misrepresentation or underrepresentation in data sets can lead to invisibility which can perpetuate or even amplify social and economic disparities. - Rediet Abebe

About Rediet Abebe

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