The Rise of Data and Ethics: HR Tech Controversies that Will Shape the Future of Work in 2025

This article explores key HR technology-related controversies that will continue shaping organizational culture and workforce strategies through 2025. The article examines four controversial issues prevalent in today's literature: 1) Finding balance between employee data access enabling effective people strategies while respecting individual privacy expectations, 2) Addressing algorithmic bias that can systematically disadvantage underrepresented groups if people data and models reflect inherent biases, 3) The impact of automation on required job skills and the nature of work itself, and how reskilling efforts can support workers, and 4) Measuring worker productivity and well-being amid rising use of digital monitoring tools, and ensuring these do not normalize an always-on work culture at the expense of work-life balance. For each issue, the article provides academic grounding, analyzes practical implications through industry case studies, and offers recommendations for responsible technology adoption centered on employee experience.

Authors

Publication Details

Journal
Human capital leadership.
Published
2024-11-01
DOI
https://doi.org/10.70175/hclreview.2020.14.3.12
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

The Rise of Data and Ethics: HR Tech Controversies that Will Shape the Future of Work in 2025

Jonathan Westover
Human capital leadership.
Big Data and Business Intelligence
article

The Rise of Data and Ethics: HR Tech Controversies that Will Shape the Future of Work in 2025

Jonathan Westover
article en

Abstract

This article explores key HR technology-related controversies that will continue shaping organizational culture and workforce strategies through 2025. The article examines four controversial issues prevalent in today's literature: 1) Finding balance between employee data access enabling effective people strategies while respecting individual privacy expectations, 2) Addressing algorithmic bias that can systematically disadvantage underrepresented groups if people data and models reflect inherent biases, 3) The impact of automation on required job skills and the nature of work itself, and how reskilling efforts can support workers, and 4) Measuring worker productivity and well-being amid rising use of digital monitoring tools, and ensuring these do not normalize an always-on work culture at the expense of work-life balance. For each issue, the article provides academic grounding, analyzes practical implications through industry case studies, and offers recommendations for responsible technology adoption centered on employee experience.

Human capital leadership.Vol. 14(3)
Decent work and economic growth
Openalex Percentile: Top 70%
Big Data and Business Intelligence
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