Algorithmic Discrimination Against Workers and Remedies Under the DeepSeek Context

Abstract

With the rapid development of artificial intelligence technologies, algorithmic discrimination, while bringing development opportunities, has also exposed numerous existing problems. Issues of algorithmic discrimination urgently need to be addressed in job screening, wage distribution, and occupational stratification. Based on these issues, this paper proposes remedies for workers from three broad aspects: enhancing workers’ capacity to safeguard their rights, improving industry self-regulation schemes, and refining national regulatory measures. Through in-depth and multi-dimensional research on algorithmic discrimination, and by comparing legal regulations across different countries, it helps to better understand the impact of algorithmic discrimination on workers’ rights and interests, and provides a theoretical basis for subsequent policy-making and legal regulation.