Abstract :

The Evolution From Traditional Performance Management Systems To AI-driven Approaches Marks A Significant Transformation In Organizational Practices. Traditional Methods Often Rely On Periodic Reviews And Subjective Assessments, Which Can Lead To Biases And Inefficiencies. In Contrast, AI-powered Systems Offer Real-time Feedback, Predictive Analytics, And Personalized Development Plans, Enhancing Objectivity And Responsiveness. This Shift Not Only Improves The Accuracy Of Performance Evaluations But Also Fosters A Culture Of Continuous Learning And Adaptation. However, The Integration Of AI In Performance Management Necessitates Careful Consideration Of Ethical Implications, Data Privacy, And The Need For Human Oversight To Ensure Fairness And Transparency. Organizations Must Balance Technological Advancements With Human Judgment To Fully Realize The Potential Of Ai In Performance Management. Key Words: Performance Management, Artificial Intelligence (AI), AI-Driven Systems Traditional Performance Evaluation, Real-Time Feedback, Predictive Analytics, Data Privacy

Published:

25-9-2025

Issue:

Vol. 25 No. 9 (2025)

Page Nos:

525-530

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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