Cover of Automating Inequality

Automating Inequality

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  1. Automation hides cruel choices

    When a computer system decides who gets food, housing, or keeps their children, the public no longer has to see poverty or own the choice. Like the poorhouse before it, the system supplies the moral distance a society needs to make inhumane decisions about the poor.

  2. Rationing scarcity by score

    Ranking needy people by computed risk or vulnerability turns a political shortage into a technical sorting problem. The algorithm decides who gets an inadequate supply of help, which makes austerity look rational instead of chosen.

  3. Harshest surveillance targets the poor

    Everyone now lives under data systems, but the most invasive and punishing ones are aimed at the poor, leaving them tracked, targeted, and trapped. The same evidence that can show what works can also be used to persecute.

  4. Bias-removing tools relocate bias

    Tools built to strip human prejudice out of public services don't eliminate it; they shift it into the design and hide it behind the appearance of neutrality. The result can deepen the inequality they were meant to fix.

  5. Strict rules become silent denial

    When an automated system treats any paperwork error as refusing to cooperate, it denies help to huge numbers of people who are actually eligible. A sudden drop in access to benefits people are owed can be the real effect, not a side effect, of new technology.

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