International Journal of Green Management and Business Studies
Vol.3 No.1 June 2023
DOI https://www.doi.org/10.56830/IJGMBS06202301
Authors
Hamad Al-Kaabi
Abstract
For public organizations looking to assure fairness and meritocracy, the clan system—which refers to the employment and advancement of people based on their family or social connections—has long been a problem. By increasing efficiency, decreasing bias, and facilitating improved decision-making, artificial intelligence (AI) has the potential to drastically alter the clan system of public institutions. This study employs a qualitative methodology to offer insightful explanations of how AI can influence the clan system in public organizations. Qualitative research can aid in the development of responsible and efficient AI systems that support equality, empowerment, and effectiveness by examining the experiences and viewpoints of people participating in hiring and promotion processes. The study finds that artificial intelligence can lessen the impact of clan ties in the hiring process and guarantee that the best individuals are chosen for the position. Additionally, AI-powered tools can be used to find any irregularities in the hiring process and offer suggestions for improvement. AI can be used to evaluate performance and make promotion decisions in addition to recruitment. AI can assist in ensuring that promotions are based on merit rather than clan allegiance by evaluating employee performance data and spotting patterns and anomalies. Additionally, AI can offer insight into the knowledge and training that will best increase performance, enabling public agencies to give their staff members specialized training and development opportunities. In general, this study concludes that the use of these technologies is ethical and transparent. It is important to ensure that they are applied ethically and transparently to avoid unintended consequences and ensure that they benefit all people equally. In addition, the study emphasizes the importance of considering the cultural and social context in which AI is implemented to ensure that it is consistent with community values and norms.
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