Case

Amazon: experimental CV-screening tool (2015–2018)

The tool learned from years of mostly male hiring records and so downgraded CVs signalling women; the company stopped using it. A classic case of skewed data and proxy variables.

Industry
E-commerce
Frameworks applied
Four layers of algorithmic bias
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Frameworks applied

This case is read through the frameworks below.

  • Four layers of algorithmic biasBefore an HR manager adopts an algorithm to screen job applicants, in what ways could it discriminate against candidates, and at which point can each bias be fixed?

Sources

References

Listed A–Z by author surname, Harvard style. A source with a DOI links to https://doi.org/…; one without links to its page or says plainly that it has no DOI.

  1. Dastin, J. (2018) Amazon scraps secret AI recruiting tool that showed bias against women. Reuters.No DOIreuters.comSource page
  2. Dattner, B. et al. (2019) The legal and ethical implications of using AI in hiring. Harvard Business Review.No DOIhbr.orgSource page