Machine Learning for Gender Inclusivity: Empowering Women in India’s IT Landscape
摘要
In India’s rapidly growing IT sector, gender inclusivity continues to remain a critical hurdle, despite significant technological advancements and economic growth. In alignment with the Sustainable Development Goals (SDGs), particularly SDG 5, which emphasizes on gender equality and women’s empowerment, this study focuses on exploring the status of women in India’s IT industry. With only 27% of the workforce comprising women and a notable absence in leadership roles, gender diversity poses a barrier to achieving sustainable development and innovation. This paper identifies the determinants contributing to gender disparities within the IT sector, examining challenges faced by women professionals, and identifying opportunities for their career prospects. Leveraging machine learning (ML) techniques, the study empirically assesses hidden biases in hiring, promotion, and compensation practices, shedding light on systemic disparities that perpetuate gender gaps. By identifying these biases, the study aims to pave the way for evidence-based interventions that promote equitable opportunities and foster a supportive environment for women empowerment. Key findings underscore the motivations driving women toward IT careers, including enhanced job prospects, competitive salaries, and exposure to cutting-edge technologies. However, persistent challenges such as workplace biases, inadequate career development opportunities, and societal pressures hinder their professional growth and job satisfaction. The study employs Logistic Regression and Support Vector Machines to analyze data, achieving a predictive accuracy of approximately 77%. Insights from ML models inform policy recommendations aimed at fostering gender inclusivity. Recommendations include implementing unbiased recruitment practices, enhancing workplace diversity through supportive policies (e.g., flexible work arrangements, on-site childcare), and fostering a culture of inclusivity and respect. By addressing these challenges and implementing evidence-based policies, India’s IT sector can unlock the full potential of its female workforce, driving innovation and sustainable growth. The findings contribute to a broader understanding of gender inclusivity in technology-driven industries, highlighting the transformative role of ML in promoting equitable opportunities and economic empowerment for women in India.