A multi-stakeholder ethical framework for AI-augmented HRM

Verma Prikshat · Parth Patel · Arup Varma · Alessio Ishizaka

57 citations0/0 files storedInternational Journal of Manpower

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AI and HR Technologies Ethics and Social Impacts of AI Ethics in Business and Education

Abstract

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.

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References

2019The global landscape of AI ethics guidelines 1997Toward a Theory of Stakeholder Identification and Salience: Defining the Principle of Who and What Really Counts 2018AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations 1990Organizational Justice: Yesterday, Today, and Tomorrow 2021Artificial Intelligence and Management: The Automation–Augmentation Paradox 2017European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”2020The Ethics of AI Ethics: An Evaluation of Guidelines 2019A Unified Framework of Five Principles for AI in Society

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