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.
22 Apr, 2024
The CIPD celebrates International HR Day 2024
Podcast 206: Digital innovation has revolutionised how we work and learn. But despite AI’s potential, scepticism prevails. Do L&D professionals need greater curiosity to explore how AI can support them and bolster learning outcomes?
Explore the CIPD’s point of view on automation, AI and technology, including recommendations for employers
An exploration of how generative AI tools like ChatGPT can be used effectively to support human resource management
How might role ambiguity lead to workplace bullying and what is the impact of leadership support in negating this effect?
An exploration of how generative AI tools like ChatGPT can be used effectively to support human resource management
When cost savings are required, what is the impact of making pay cuts instead of redundancies?
This research outlines recommendations for making feedback discussions more constructive