Leveraging AI and Analytics for Equity in Talent Management

The integration of Artificial Intelligence (AI) and advanced analytics into talent management has emerged as a transformative approach to addressing long-standing inequities in recruitment, performance evaluation, career development, and employee retention. Despite the growing emphasis on equity, diversity, and inclusion (EDI) in organizational practices, traditional talent management systems often perpetuate biases, leading to unequal opportunities for underrepresented groups. This paper conducts a comprehensive review of Scopus-indexed literature to explore how AI and analytics can be leveraged to promote equity in talent management. By systematically analysing 85 peer-reviewed articles, conference papers, and book chapters published between 2010 and 2023, this study identifies key applications, challenges, and future directions for AI-driven equity initiatives. The findings reveal that AI-powered tools, such as anonymized resume screening, video interview analysis, and predictive analytics, have demonstrated significant potential in reducing biases during recruitment and hiring processes. In performance evaluation, analytics-driven systems provide objective metrics, minimizing subjective biases and ensuring fair assessments. AI also plays a critical role in career development by offering personalized recommendations for skill-building and succession planning, thereby ensuring equitable access to growth opportunities. Furthermore, predictive analytics and sentiment analysis tools enable organizations to identify atrisk employees and address equity-related concerns proactively, fostering inclusive workplaces. This paper highlights the need for future research to focus on developing bias-free AI models, enhancing the explainability of AI systems, and exploring the intersection of AI and human judgment in talent management. It also calls for longitudinal studies to assess the long-term impact of AI-driven equity initiatives on organizational performance and employee satisfaction.