The fast use of Artificial Intelligence (AI) in Human Resource Management (HRM) has changed how performance is assessed, making it more based on data, clear and efficient. This study looks at how IT workers feel about using AI to evaluate employee performance. The research covers important areas like fairness, accuracy, transparency, reducing bias, trust in the system and how AI affects employee motivation and career growth. A survey was given to IT professionals in selected companies in Coimbatore and the responses were studied using both basic and advanced statistical methods. The results show that while workers see AI as a way to make assessments fairer and less biased, they also have worries about privacy, missing human judgment and depending too much on algorithms. Research Design & Samples: The study used a descriptive design. For sampling, the researcher used convenience sampling and included 60 IT professionals from Coimbatore. Tools of data collection: The researcher used a self-made questionnaire to gather socio-demographic information. Another questionnaire was used to collect views on AI and performance appraisal. The study found that 16.7% of respondents have a moderate level of understanding about AI and performance appraisal, 70.0% have a high level and 13.3% have a low level.
Artificial Intelligence, Performance Appraisal, IT Employees.
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