Algorithms as discrimination detectors.
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- Record sourced from PubMed, PMID 32723823.
- Also identified by DOI 10.1073/pnas.1912790117 and PMC identifier 7720101.
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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.