【Rejected by Code: Algorithmic Bias in AI-Driven Recruitment and the Case for HR-IT Governance Frameworks】
#论文发表# #人工智能行业应用# #人力资源管理# #招聘工具# #算法偏见#

Organizations increasingly delegate the first evaluation of job candidates to artificial intelligence, adopted on a dual promise of efficiency and freedom from human prejudice. Yet a substantial body of scholarship shows that such systems can reproduce and even intensify historical discrimination, because models trained on past hiring data learn the patterns embedded in that data, including patterns that track protected characteristics through seemingly neutral proxy variables. This paper asks how algorithmic bias manifests in AI-powered recruitment tools and application tracking systems (ATS), and what joint HR-IT governance framework organizations must adopt to ensure legal compliance, ethical hiring, and equitable outcomes.

DOI: 10.4236/wjet.2026.144053 http://t.cn/AXj7AfTC