Leveraging Gen AI in HR Processes for Employee Termination
The integration of Generative AI in Human Resource (HR) processes, particularly for employee termination, represents a significant evolution in how organizations manage sensitive employment decisions. This study explores the transformative impact of AI technologies on the termination process, highlighting their potential to enhance efficiency, communication, and fairness. By employing AI-driven tools, HR departments can streamline termination procedures, improve the quality of decision-making, and foster a more empathetic experience for affected employees. The research examines various AI applications, including automated documentation, predictive analytics, and real-time communication systems, which collectively contribute to a more transparent and humane termination process. Additionally, the study addresses ethical considerations and data privacy concerns associated with AI integration, emphasizing the need for responsible practices in HR management. Ultimately, the findings underscore the potential of Generative AI to not only optimize operational efficiencies but also enhance the overall employee experience during challenging transitions.
Authors
- P.M. Mohan
- S. Aravind
- Om Goel
- S. K. Jain (ORCID: https://orcid.org/0000-0003-3376-1220)
- FNU Antara
- Dr Satendra Pal Singh
Institutions
- Gurukul Kangri Vishwavidyalaya (IN)
- Hemwati Nandan Bahuguna Garhwal University (IN)
- Ambedkar University Delhi (IN)
- University of the Cumberlands (US)
- ABES Engineering College
- University of Maryland, College Park (US)
Publication Details
- Journal
- Darpan International Research Analysis
- Published
- 2024-09-30
- DOI
- https://doi.org/10.36676/dira.v12.i3.134
- Citations
- 2
- Primary Topic
- AI and HR Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.35