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

R. Vivek
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Abstract

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.
通过人工智能增强招聘中的多样性和减少偏见:战略和挑战综述
本研究探讨了在不断变化的招聘领域中,传统招聘实践与技术日益增长的影响之间的相互作用。在当今全球化时代和最近远程工作激增的情况下,特别是在2019冠状病毒病大流行之后,人才获取的传统限制已经被超越,超越了地理界限。数字平台、在线求职板和社交媒体渠道的出现,使企业与潜在求职者的联系方式发生了范式转变。这种转变导致了一个更广泛和多样化的人才库,从而加强了招聘过程。然而,数字化进程带来了一系列独特的挑战,特别是管理和分析大量数据的复杂任务,以及确保公平高效的招聘程序的需要。本报告强调了人工智能(AI)在应对这些挑战方面的重要性,强调了其在招聘过程中提高效率、公平性和可扩展性的潜力。该研究强调了将人工智能(AI)纳入当代招聘方法的重要性。它提倡技术进步和人类专业知识的平衡结合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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