%0 Journal Article %1 kellylyth2021challenging %A Kelly-Lyth, Aislinn %D 2021 %J Oxford Journal of Legal Studies %K algorithms bias discrimination recruiting %R 10.1093/ojls/gqab006 %T Challenging biased hiring algorithms %U https://academic.oup.com/ojls/advance-article/doi/10.1093/ojls/gqab006/6166290 %X Abstract Many employers now use complex algorithms to assess job applications. These algorithms can have discriminatory effects for women, ethnic minorities, people with disabilities and other legally protected groups. This article evaluates the application of UK law to the use of such algorithms, and finds that equality and data protection laws seek to balance the harms of these tools against the benefits of their use. The article then considers the application of these laws in practice, and finds that the opacity of automated hiring poses a significant challenge to enforcement. The article suggests that a ‘transparent recruitment scheme’ should therefore be introduced, which would incentivise the publication of equality metrics contained in employers’ data protection impact assessments. This scheme should be a collaborative effort between the Information Commissioner’s Office and the Equality and Human Rights Commission.

@article{kellylyth2021challenging, abstract = {Abstract Many employers now use complex algorithms to assess job applications. These algorithms can have discriminatory effects for women, ethnic minorities, people with disabilities and other legally protected groups. This article evaluates the application of UK law to the use of such algorithms, and finds that equality and data protection laws seek to balance the harms of these tools against the benefits of their use. The article then considers the application of these laws in practice, and finds that the opacity of automated hiring poses a significant challenge to enforcement. The article suggests that a ‘transparent recruitment scheme’ should therefore be introduced, which would incentivise the publication of equality metrics contained in employers’ data protection impact assessments. This scheme should be a collaborative effort between the Information Commissioner’s Office and the Equality and Human Rights Commission.}, added-at = {2021-03-15T21:52:38.000+0100}, author = {Kelly-Lyth, Aislinn}, biburl = {https://www.bibsonomy.org/bibtex/22009150a1ba9c973b128158e096414d9/meneteqel}, doi = {10.1093/ojls/gqab006}, interhash = {a36276d45a9aaab551b62cc809d935fa}, intrahash = {2009150a1ba9c973b128158e096414d9}, issn = {1464-3820}, journal = {Oxford Journal of Legal Studies}, keywords = {algorithms bias discrimination recruiting}, language = {en-UK}, month = mar, timestamp = {2021-03-16T10:03:52.000+0100}, title = {Challenging biased hiring algorithms}, url = {https://academic.oup.com/ojls/advance-article/doi/10.1093/ojls/gqab006/6166290}, year = 2021 }