Leveraging Artificial Intelligence for Efficient Employee Performance Evaluation of Software Projects
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Date
2024-10
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Addis Ababa University
Abstract
Performance evaluation is a critical process for ensuring employee growth,organizational and project success. Due to the important nature of these
evaluations many methods have been proposed over the years to improve theway they are conducted. However, the recent rise of Artificial intelligence and
its success across many disciplines can lead us to ponder if AI can beleveraged to fill the shortcomings of traditional evaluation methods. This
research explores the potential of integrating Artificial Intelligence (AI) intoperformance evaluation systems to address the challenges of subjectivity and
inefficiency. Through a comprehensive survey of software developmentprofessionals, the study investigates perceptions of current evaluation
processes, the importance of data-driven insights, and attitudes towards AIintegration in software development teams. The results show that traditional
approaches lack in some areas, mainly in perceived biases, evaluationfrequency, and communication problems. The advantages of AI that
respondents emphasized included shorter evaluation times, a decline inhuman bias, improved insights for development, and ongoing feedback. On
the other hand, potential biases in AI algorithms and worries about AI'scapacity to identify nuance contributions were also mentioned.
The study advances our knowledge of how artificial intelligence (AI) mightimprove software development performance reviews, fostering a more
impartial, effective, and perceptive procedure. It also describes how ethicalstandards and transparent AI systems are essential to ensuring thorough and
impartial assessments.
Key words: Performance evaluation, Artificial intelligence , Algorithm,