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Algorithms need a conscience in the public sector, according to author Virginia Eubanks. She has a book called Automating Inequality, and she argues that the poor are a testing ground for new technology that increases inequality. To some extent, we’re used to companies making arbitrary decisions about our lives — mortgages, credit card applications, car loans, etc. Yet, these decisions are based almost entirely on straightforward factors of determination — like credit score, employment and income. In the case of algorithmic determination in social services, there is bias in the form of outright surveillance in combination with forced PII share imposed upon recipients.