Intelligent Personnel Management System Under the AI Ethics Framework: Research on Data Privacy and Employee Rights Protection Mechanisms

Intelligent personnel management systems, leveraging advanced artificial intelligence (AI) technologies, have revolutionized core human resource (HR) processes, including recruitment, performance evaluation, attendance tracking, and more. These systems offer efficiency and automation, transforming traditional HR practices and improving organizational productivity. However, alongside these technological advancements, significant ethical risks have emerged, particularly concerning issues of data abuse and algorithmic discrimination. These risks pose serious threats to employees' privacy, fairness, and legitimate rights, necessitating a careful examination of their ethical implications. Drawing on the ethical principles of "fairness, transparency, and controllability" in AI, this study explores the various types of ethical risks inherent in intelligent personnel systems through in-depth case studies from enterprises. To address these challenges, the study proposes a comprehensive, three-dimensional protection mechanism that integrates technological solutions, institutional frameworks, and a human-centered approach. This mechanism aims to ensure that the design, implementation, and operation of intelligent personnel systems are aligned with ethical standards and respect employees' rights. The effectiveness of the proposed mechanism is empirically validated through comparisons of specific technical parameters and real-world data, demonstrating its potential to mitigate ethical risks. Ultimately, this research offers a feasible and actionable path for enterprises to develop compliant, ethical, and humanistic intelligent personnel management systems, ensuring the protection of both organizational efficiency and employee welfare.