my notes ( ? )
algorithmic systems don’t simply cost money to implement. They cost money to maintain. They cost money to audit. They cost money to evolve ... divert taxpayer money from direct services, to lining the pockets of for-profit entities under the illusion of helping people....a diversion of liability ... those in powerful positions blame the algorithms... to treat data analysis as a savior to a broken system is woefully naive...
Virginia Eubanks’ book “Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor”... offers a clear portrait of just how algorithmic systems actually play out on the ground... showcases the frustration and anxiety that these implementations produce; the ways in which both social services recipients and taxpayers are screwed by the false promises of these technologies... Rather than thinking of AI as “artificial intelligence,” Eubanks effectively builds the case for how we should think that AI often means “automating inequality” in practice.
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