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March 7, 2017
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October 26, 2016
Increasingly sophisticated data-gathering technologies measure performance across very different domains, from how students score on high-stakes tests at school (or for that matter, how they behave in class), to what consumers purchase and for how much, to how dangerous a risk—or tempting a target—a prospective borrower is, based on whatever demographic and behavioral data the credit industry can hoover up.… Statistical models that measure performance have biases that arise from those of their creators. As a result, algorithms are often unfair and sometimes harmful.… But as serious as their shortcomings are, the widespread use of decision-making algorithms points to an even bigger problem: Even if models could be perfected, what does it mean to live in a culture that defers to data, that sorts and judges with unrelenting, unforgiving precision?
October 17, 2016