ARTIFICIAL INTELLIGENCE IN RECRUITMENT: IMPLICATIONS FOR WORKFORCE DIVERSITY AND INCLUSION
Keywords:
Artificial Intelligence, Recruitment, Workforce Diversity, Inclusion, Algorithmic BiasAbstract
The increasing use of Artificial Intelligence (AI) in recruitment has transformed traditional hiring processes by introducing automation, efficiency, and data-driven decision-making. AI-based tools such as resume screening algorithms, chatbots, predictive analytics, and automated interviews are widely adopted to reduce human effort and bias. However, their implications for workforce diversity and inclusion have raised critical ethical and psychological concerns. This study examines the impact of AI-driven recruitment systems on workforce diversity, inclusion, fairness, and equal opportunity. Using secondary data sources, the paper explores whether AI promotes inclusive hiring or unintentionally reinforces existing biases. The findings indicate that while AI has the potential to enhance diversity by minimizing human prejudice, poorly designed or biased algorithms may replicate social inequalities. The study highlights the need for ethical AI practices, transparency, and human oversight to ensure inclusive recruitment outcomes.
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References
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