The application of artificial intelligence in the generation of employee evaluations involves using algorithms and natural language processing to automate or assist in the creation of performance reviews. For example, software can analyze employee data, such as project contributions, attendance records, and completed training, to produce a draft performance summary. This draft can then be reviewed and edited by a manager.
Leveraging automated tools in this area offers potential improvements in efficiency, consistency, and objectivity in the evaluation process. Historically, performance reviews have been time-consuming and susceptible to bias. Technology offers a means to streamline the process, potentially freeing up managerial time and ensuring more equitable assessments based on data rather than subjective impressions. The evolution of machine learning has enabled more sophisticated analysis of employee performance metrics.
