探索性别偏见和算法透明度:人工智能在人力资源管理中的伦理考量

Jiaxing Du
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摘要

人工智能(AI)融入人力资源管理(HRM)带来了机遇和挑战。本段讨论了人工智能应用于人力资源管理的道德影响,重点是性别偏见和算法透明度。它探讨了人力资源管理中人工智能驱动的决策如何使性别偏见永久化,透明算法对信任和问责的重要性,以及监管框架在保障道德标准方面的作用。本文旨在全面分析人工智能在人力资源管理中的伦理状况,并提出政策建议,以减少偏见,提高透明度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring Gender Bias and Algorithm Transparency: Ethical Considerations of AI in HRM
Opportunities and challenges are introduced by the integration of Artificial Intelligence (AI) into Human Resource Management (HRM). The paragraph discusses the ethical implications of AI applications in HRM, focusing on gender bias and algorithm transparency. It explores how AI-driven decision-making in HRM perpetuates gender bias, the importance of transparent algorithms for trust and accountability, and the role of regulatory frameworks in safeguarding ethical standards. The paper aims to provide a comprehensive analysis of the ethical landscape of AI in HRM and offers policy recommendations to mitigate bias and enhance transparency.
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