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AI for the people? Embedding AI ethics in HR and people analytics projects

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  • Bar-Gil, Oshri
  • Ron, Tom
  • Czerniak, Ofir

Abstract

Technological advances and the “zeitgeist” led to increased use of AI in HR Analytics. Using machine learning models in this field might be beneficial but requires some unique considerations in how organizations govern, assure, audit, and support the use of AI. While substantial work has been done on AI ethics, organizational implantation studies are rare and often anecdotal, particularly in HR. In this article, we would like to better understand the common ethical considerations and organizational responses for developing AI for HR use and how different organizations engage with them by comparing two case studies.

Suggested Citation

  • Bar-Gil, Oshri & Ron, Tom & Czerniak, Ofir, 2024. "AI for the people? Embedding AI ethics in HR and people analytics projects," Technology in Society, Elsevier, vol. 77(C).
    • Handle: RePEc:eee:teinso:v:77:y:2024:i:c:s0160791x24000757
    DOI: 10.1016/j.techsoc.2024.102527
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    1. Md. Nazmus Sakib & Muhammad Shariat Ullah & Md. Mahbubur Rahman, 2025. "Mapping the evolution of digital human resource management: a systematic review and bibliometric analysis," Future Business Journal, Springer, vol. 11(1), pages 1-26, December.
    2. Leszczyński, Grzegorz & Gaczek, Piotr & Ławrynowicz, Maciej, 2026. "The bright side of AI in hiring: Collaborating with algorithms supports ethical decision-making," Journal of Business Research, Elsevier, vol. 203(C).
    3. Méndez-Suárez, Mariano & Ćukušić, Maja & Ninčević-Pašalić, Ivana, 2026. "AI FoMO (fear of missing out) in the workplace," Technology in Society, Elsevier, vol. 84(C).
    4. He, Bei & Alshaghdali, Nourah O. & Ren, Yuheng & Romano, Marco & Cuomo, Maria Teresa, 2025. "Augmenting user experience in the AI-transitioned metaverse: The role of knowledge management in socio-economic inclusion," Technology in Society, Elsevier, vol. 83(C).

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