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A multi-stakeholder ethical framework for AI-augmented HRM

journal contribution
posted on 2024-05-22, 01:18 authored by Verma Prikshat, P Patel, A Varma, A Ishizaka
Purpose: This narrative review presents a multi-stakeholder ethical framework for AI-augmented HRM, based on extant research in the domains of ethical HRM and ethical AI. More specifically, the authors identify critical ethical issues pertaining to AI-augmented HRM functions and suggest ethical principles to address these issues by identifying the relevant stakeholders based on the responsibility ethics approach. Design/methodology/approach: This paper follows a narrative review approach by first identifying various ethical/codes/issues/dilemmas discussed in HRM and AI. The authors next discuss ethical issues concerning AI-augmented HRM, drawing from recent literature. Finally, the authors propose ethical principles for AI-augmented HRM and stakeholders responsible for managing those issues. Findings: The paper summarises key findings of extant research in the ethical HRM and AI domain and provides a multi-stakeholder ethical framework for AI-augmented HRM functions. Originality/value: This research's value lies in conceptualising a multi-stakeholder ethical framework for AI-augmented HRM functions comprising 11 ethical principles. The research also identifies the class of stakeholders responsible for identified ethical principles. The research also presents future research directions based on the proposed model.

History

Volume

43

Issue

1

Start Page

226

End Page

250

Number of Pages

25

ISSN

0143-7720

Publisher

Emerald

Language

en

Peer Reviewed

  • Yes

Open Access

  • No

Acceptance Date

2021-08-15

Era Eligible

  • Yes

Journal

International Journal of Manpower

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