Bias in Big Data and Artificial Intelligence
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More and more, the decisions that rule our lives are made by algorithms. From the news we see in our feeds, to whether or not we qualify for a mortgage, to the rates we pay for health insurance. And while there are demonstrable biases against marginalized communities caused by algorithms, some say the machines are innocent — they’re just doing math. But as more systems rely on big data and artificial intelligence, bias and discrimination is rampant. How do we protect ourselves when we’re at the mercy of the few who create the algorithms? Should there be a universal set of ethical standards? Is regulation needed? How can we be more savvy about the models that increasingly, and imperceptibly, rule our lives?
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