Artificial Intelligence and Performance Management: Balancing Automation with the Human Element

Abstract

The main objective of the study was to investigate the combining effect of Artificial Intelligence and Human Element on Performance Management.  Population of 85 consisting of Managers and Supervisors of various unit in Access Bank Plc Branches in Akwa Ibom State were studied to achieve this objective.  Survey research technique was adopted where 70 managers and supervisors drawn from the population to form the sample size. A Descriptive survey method was adopted and primary instrument of data collection was self-developed questionnaire while the formulated hypotheses were tested using simple regression statistical tool through the help of SPSS version 27.  The study revealed that; AI data analysis tools and managers' judgment have synergistic effect on performance management and that AI performance prediction algorithms and coaching techniques have synergistic effect on performance management. It was recommended that AI-powered continuous feedback should be combined with managers coaching to create a more engaging performance management system by identifying strengths, weaknesses, and fostering a growth mindset and Human managers, with their real-world experience, should combine AI's data analysis with considerations like workload and employee well-being. This combined approach leads to a fairer and more effective way to improve employee performance.