Predatory Data

Book •

Mentioned by

Mentioned by

Michael LaMagna

as the topic of the podcast episode.

Recommended by

Alberto Cairo

for its deep dive into the history of statistics and its connection to eugenics, racism, and colonialism.

Recommended by

Maia Woluchem

as an essential book for understanding the social implications of data and AI.

Written by

Anita Say Chan

, documenting how AI training data reflects historical data infrastructures that harm marginalized communities.

Mentioned by

Bill Ayers

as the author of the book and discussed in the podcast.

Mentioned by

Laura Stark

as a book documenting how big data used in AI training harms marginalized communities.

Mentioned by

Michael O. Johnston

as the topic of the podcast episode.

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