SNAP Benefits Crisis
As states use the shutdown crisis to permanently automate SNAP decisions, Vale examines the facial recognition systems, predictive analytics, and fraud detection algorithms now determining who deserves food. With error rates of 34% for Black women and rejection rates 63% higher than human reviewers, these black-box systems encode historical discrimination into code while surveilling every transaction, social media post, and movement pattern of recipients. The episode exposes how tech companies profit from building digital infrastructure that transforms poverty into data and data into denial, creating an algorithmic poor house more efficient than anything Dickens imagined. https://Click here to browse handpicked Amazon finds inspired by this podcast series! https//amzn.to/4iKfAMs This content was created in partnership and with the help of Artificial Intelligence AI.
4 episodios
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