Информатика. Экономика. Управление - Informatics. Economics. Management

Enhancing diversity and reducing bias in recruitment through AI: a review of strategies and challenges

R. Vivek

DOI: https://doi.org/10.47813/2782-5280-2023-2-4-0101-0118

Ключевые слова: recruitment landscape, technological advancements, modern recruitment, AI-driven recruitment, unbiased decision-making.

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Аннотация

This study explores the interaction between conventional hiring practices and the growing impact of technology in the ever-changing field of recruitment. In the current era of globalisation and the recent surge in remote work, especially in the aftermath of the COVID-19 pandemic, the traditional limitations of talent acquisition have been transcended, extending beyond geographical boundaries. The advent of digital platforms, online job boards, and social media channels has brought about a paradigm shift in the way organisations connect with potential candidates. This transformation has resulted in a more expansive and varied talent pool, thereby enhancing the recruitment process. However, the process of digitization presents a unique set of challenges, specifically the complex task of managing and analysing large volumes of data, as well as the need to ensure fair and efficient recruitment procedures. This report highlights the significant importance of Artificial Intelligence (AI) in addressing these challenges, emphasising its potential to improve efficiency, fairness, and scalability in the hiring process. The study emphasises the importance of incorporating artificial intelligence (AI) into contemporary recruitment approaches. It advocates for a balanced combination of technological advancements and human expertise.

 

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Биография автора

R. Vivek

Ramakrishnan Vivek, Research Student at Catholic University of Eichstatt-Ingolstadt (KU), Eichstätt & Ingolstadt, Bavaria, Germany

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Библиографические ссылки

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