en روش های تحلیل و تصمیم گیری Decision Analysis and Methods پژوهشي Research <div style="text-align: justify;"><span style="font-size:10.5pt"><span style="text-justify:inter-ideograph"><span style="line-height:115%"><span style="font-family:Calibri,sans-serif"><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">Artificial intelligence (</span></span></span></i><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">AI</span></span></span></i><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">)</span></span></span></i><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times=""> has been integrated into human resource management</span></span></span></i><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times=""> (HRM)</span></span></span></i><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">, enabling the transformation of the field through routine job automation, decision-making enhancement, and evidence-based strategies. </span></span></span></i><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">This article </span></span></span></i><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">will systematically review the role of AI in HRM, focusing on applications related to recruitment, employee engagement, workforce planning, and retention. This systematic review article underlines the significant benefits of AI adoption by analyzing ten peer-reviewed studies using advanced statistical analysis</span></span></span></i><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">. These benefits include </span></span></span></i><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">efficiency gains, increased employee satisfaction, and strategic workforce optimization. Yet, there are significant challenges in the form of algorithmic bias, data privacy concerns, and organizational readiness. Regression and correlation analyses show a strong positive relationship between AI use and HR performance metrics, with a greater effect on recruitment and retention. Though </span></span></span></i><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">AI</span></span></span></i><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times=""> has a huge potential for transformation, the findings have brought into focus the need for ethical guidelines, strong data protection, and employee upskilling for the full realization of AI&#39;s capabilities in HRM. </span></span></span></i><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">Thus, this </span></span></span></i><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">study provides </span></span></span></i><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">practical </span></span></span></i><i><span style="font-size:12.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">insights for organizations seeking to adopt AI technologies while addressing the associated challenges.</span></span></span></i></span></span></span></span></div> &nbsp; Artificial Intelligence (AI),Human Resource Management (HRM),Workforce Analytics,Employee Engagement,Recruitment,Retention,Algorithmic Bias,Data Privacy. 39 51 http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-3248-1&slc_lang=en&sid=1 Nadera Hourani nalhourani@kau.edu.sa 1800319475328460013322 1800319475328460013322 Yes Dr. Nadera Hourani, Assistant Professor, Human Resource Management College of Business, King bdulaziz university ORCID: 0009-0007-4367-3554 | nadrahourani@yahoo.com