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How to use AI in performance appraisal process? 


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AI can be used in the performance appraisal process to make less biased, accurate, and data-supported decisions . AI algorithms can measure and evaluate worker production, make inferences about an employee's economic impact, emotional state, aptitude for leadership, and the likelihood of leaving . AI models can predict lawyers' appraisal ratings based on career competition and performance rankings, leading to time and resource savings . AI technology can increase the effectiveness of performance appraisal by providing data-driven insights for strategic decision-making . AI technology can be used to design an enterprise workload performance appraisal system that ensures the authenticity, reliability, and real-time nature of performance data .

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The paper discusses the design of an enterprise workload performance appraisal system based on computer artificial intelligence technology, but it does not provide specific details on how AI is used in the performance appraisal process.
The paper discusses the importance of using AI technology in the performance appraisal process to increase effectiveness and make strategic decisions. However, it does not provide specific details on how to use AI in the process.
The paper presents an AI model that predicts lawyers' appraisal ratings in a law firm based on a database of descriptors. It simulates career competition to predict performance rankings and can help identify bias in appraisals. However, it does not provide specific instructions on how to use AI in the performance appraisal process.
The paper discusses how AI technology supports performance appraisal by enabling HR managers to make less biased, accurate, and data-supported decisions in the performance management process.
The paper discusses the use of AI in employee performance evaluation, but it does not provide specific instructions on how to use AI in the performance appraisal process.

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