articleCalifornia Law ReviewJan 1, 2016GREEN OA

Big Data�s Disparate Impact

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Abstract

Advocates of algorithmic techniques like data mining argue that these techniques eliminate human biases from the decision-making process. But an algorithm is only as good as the data it works with. Data is frequently imperfect in ways that allow these algorithms to inherit the prejudices of prior decision makers. In other cases, data may simply reflect the widespread biases that persist in society at large. In still others, data mining can discover surprisingly useful regularities that are really just preexisting patterns of exclusion and inequality. Unthinking reliance on data mining can deny historically disadvantaged and vulnerable groups full participation in society. Worse still, because the resulting…

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Topics & keywords

Keywords
  • Disparate impact
  • Spurious relationship
  • Disadvantaged
  • Doctrine
  • Process (computing)
  • Commission
  • Disparate treatment
  • Employment discrimination
UN Sustainable Development Goals
  • Reduced inequalities
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