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AI and Employment Discrimination: AIHR's Algorithmic Bias

Yuzhe Zhu

2025 · DOI: 10.54254/2755-2721/2025.20842
Applied and Computational Engineering · 0 Citations

TLDR

The studys shows that employment equity and artificial intelligence in the current recruitment path, it should be combined with employment algorithm discrimination and legal challenges to explore the solution path.

Abstract

Today, artificial intelligence (AI) has developed rapidly to permeate every aspect of people's lives. Some AI has already replaced humans to start working in factories or companies, in addition to AI in the field of employment and AIHR under the recruitment path based on big data algorithms for resume screening and employee interviews. The extension of AI to employment recruitment raises the issue of potential algorithmic discrimination, which manifests itself in discrimination in hiring data extrapolation, hiring data interpretation, and hiring data applications. The studys shows that employment equity and artificial intelligence in the current recruitment path, it should be combined with employment algorithm discrimination and legal challenges to explore the solution path: overcome the root algorithm bias at the technical level, clarify the responsibility of the recruitment subject, improve the laws and regulations on AI in the employment field, and set up supervision and evaluation institutions. Taking into account industrial development and employment development, we will promote the development and progress of AI recruitment and ensure that the right to fair opportunities for employees is not infringed.