December 4, 2025AI and EthicsOpen Access

A framework for ethical AI-HRM development and use

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Significant improvements in transparency and equity are essential for ethical AI-HRM systems, particularly in bias mitigation.
Current AI-HRM systems often lack transparency, with identified shortcomings indicating pervasive bias risks.
Analysis focused on existing U.S. discrimination laws, aiming to create actionable frameworks for responsible AI integration.
Ethical AI adoption in HRM calls for a detailed approach to bias evaluation alongside legal and technical considerations.

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Implication

This framework demonstrates how to improve equity and accountability in AI-HRM, suggesting effective bias evaluation strategies based on legal frameworks.

Cite This Study

Hilary G. Buttrick (2025) studied this question.

synapsesocial.com/papers/6930dc81ea1aef094cca2589 https://doi.org/10.1007/s43681-025-00858-7

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Implication

This framework demonstrates how to improve equity and accountability in AI-HRM, suggesting effective bias evaluation strategies based on legal frameworks.

A framework for ethical AI-HRM development and use

Key Points

Discussion

Implication

Cite This Study

A framework for ethical AI-HRM development and use

Key Points

Discussion

Implication

Cite This Study

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