In this article, the author discusses the challenges around algorithmic decision-making and proposes a seven-step roadmap for using these algorithms responsibly. Although the research is based on service companies, the roadmap is useful for HR practitioners who are thinking of implementing (or reviewing existing) algorithmic decision-making in their HR processes. 

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Reviewed by

Hayfa Mohdzaini, Senior Research Adviser | Interim Head of Research

Hayfa joined us in 2020. Hayfa has degrees in computer science and human resources from University of York and University of Warwick respectively.

She started her career in the private sector working in IT and then HR and has been writing for the HR community since 2012. Previously she worked for another membership organisation (UCEA) where she expanded the range of pay and workforce benchmarking data available to the higher education HR community. 

She is interested in how the people profession can contribute to good work through technology and has written several publications on our behalf, as well as judging our people management awards, speaking at conferences and exhibitions and providing commentary to the media on the subjects of people and technology.

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