Gender Bias and Career Progression Challenges Faced by Women in Ai-driven Hr Systems in the it Industry

Artificial Intelligence (AI) has become an integral component of HR systems, influencing recruitment, performance appraisal, and career progression processes. While AI promises objectivity and efficiency, emerging evidence indicates that algorithmic biases may disproportionately effect women employees in the IT industry. This study investigates the presence of gender bias within AI-driven HR tools and examines how these biases shape career advancement opportunities for women. Using a descriptive research design, data were collected from women employees working in IT companies through a structured questionnaire. The findings reveal key concerns related to algorithmic discrimination, skewed evaluation metrics, lack of transparency in AI-based decision-making, and limited access to AI- related training opportunities. The study highlights how these factors restrict women’s career mobility, affect job security, and widen gender gaps in leadership roles.