Ethical and Psychological Impacts of AI-Driven Recruitment and Performance Evaluation Systems on Faculty Members in Private Universities of Gujarat
Author(s): 1. Firdos Shamimahmad Shaikh, 2. Shamim Azimbhai Sulaimani
Authors Affiliations:
1. Assistant Professor, Faculty of Commerce and Management, Gokul Global University
2. Assistant Professor, Faculty of Commerce and Management, Gokul Global University
DOIs:10.2015/IJIRMF/202505044     |     Paper ID: IJIRMF202505044Artificial Intelligence (AI) is transforming Human Resource Management (HRM) in academic institutions, especially private universities, by optimizing recruitment and performance evaluation processes. While AI-driven systems enhance efficiency and objectivity, they also raise significant ethical concerns and contribute to faculty psychological stress. This study investigates faculty perceptions of AI-based HRM practices within private universities in Gujarat, focusing on their emotional and professional impacts. It critically analyzes issues surrounding algorithmic transparency, fairness, data privacy, and mental well-being, comparing AI-driven, traditional, and hybrid HRM models. The findings highlight key challenges associated with AI integration and propose strategic recommendations to ensure ethical implementation and psychological safety in academia.
Firdos Shamimahmad Shaikh, Shamim Azimbhai Sulaimani (2025); Ethical and Psychological Impacts of AI-Driven Recruitment and Performance Evaluation Systems on Faculty Members in Private Universities of Gujarat, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-11, Issue-5, Pp.275-281.     Available on –  https://www.ijirmf.com/
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