Mix Mistress Alice💄” It’s a common refrain: AI is neither good nor bad because that depends on how its used. Professor Anita Say Chan begs to differ. […]
Chan documents how the Big Data on which AI are trained are based on long-standing data infrastructures—sets of practices, policies, and logics—that remove, imperil, devalue, and actively harm people who refuse to conform to racialized patriarchal power structures and the priorities of surveillance capitalism—most pointedly immigrant, feminist, and low-income communities.
[…] Chan dedicates half of the book to amplifying and praising the small-scale, community-led projects of the past and present—from the legendary Hull House’s data visualizations to community data initiatives in Champaign, Illinois. There is much fuel for political outrage in this book and also fodder for solidarity and hope.” "—New Books in Critical Theory
Predatory Data - Eugenics in Big Tech and Our Fight for an Independent Future >
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