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Algorithms as discrimination detectors
Jon Kleinberg1, Jens Ludwig2, Sendhil Mullainathan3
1Department of Computer Science, Cornell University, Ithaca, NY 14853; kleinberg@cornell.edu.
Abstract:
Preventing discrimination requires that we have means of detecting it, and this can be enormously difficult when human beings are making the underlying decisions. As applied today, algorithms can increase the risk of discrimination. But as we argue here, algorithms by their nature require a far greater level of specificity than is usually possible with human decision making, and this specificity makes it possible to probe aspects of the decision in additional ways. With the right changes to legal and regulatory systems, algorithms can thus potentially make it easier to detect-and hence to help prevent-discrimination.
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