Location
Online
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2023 12:00 AM
End Date
7-1-2023 12:00 AM
Description
As the technological expansion of Artificial Intelligence (AI) penetrates various industries, Human Resource Management has attempted to keep pace with the new capabilities and challenges these technologies have brought. When adopting AI, transparency within HRM decisions is an increasing demand to establish ethical, unbiased, and fair practices within a firm. To this end, explainable AI (XAI) methods have become vital in achieving transparency within HRM decision-making. Thus, there has been a growing interest in exploring successful XAI techniques, as evidenced by the systematic literature review (SLR) performed in this paper. Our SLR starts by revealing where AI exists within HRM. Following this, we review the literature on XAI and accuracy, XAI design, accountability, and data processing initiatives within HRM. The integrated framework we propose provides an avenue to bridge the gap between transparent HRM practices and Artificial Intelligence, providing the industrial and academic community with better insight into where XAI could exist within HRM processes.
Recommended Citation
Votto, Alexis and Liu, Charles Zhechao, "Transparent Artificial Intelligence and Human Resource Management: A Systematic Literature Review" (2023). Hawaii International Conference on System Sciences 2023 (HICSS-56). 2.
https://aisel.aisnet.org/hicss-56/da/xai/2
Transparent Artificial Intelligence and Human Resource Management: A Systematic Literature Review
Online
As the technological expansion of Artificial Intelligence (AI) penetrates various industries, Human Resource Management has attempted to keep pace with the new capabilities and challenges these technologies have brought. When adopting AI, transparency within HRM decisions is an increasing demand to establish ethical, unbiased, and fair practices within a firm. To this end, explainable AI (XAI) methods have become vital in achieving transparency within HRM decision-making. Thus, there has been a growing interest in exploring successful XAI techniques, as evidenced by the systematic literature review (SLR) performed in this paper. Our SLR starts by revealing where AI exists within HRM. Following this, we review the literature on XAI and accuracy, XAI design, accountability, and data processing initiatives within HRM. The integrated framework we propose provides an avenue to bridge the gap between transparent HRM practices and Artificial Intelligence, providing the industrial and academic community with better insight into where XAI could exist within HRM processes.
https://aisel.aisnet.org/hicss-56/da/xai/2