AI Tool Predicts Employee Job Departures

A new artificial intelligence tool developed by Japanese researchers aims to assist managers in predicting employee turnover and providing targeted support to prevent it. The tool analyzes various data points on employees, including attendance records, personal information such as age and gender, and even tracks the history of employees who have left the company or taken leave, creating a turnover model for each firm.

By leveraging this data, the AI tool can predict the likelihood of new recruits leaving the company in percentage points. Professor Naruhiko Shiratori, with assistance from a start-up in Tokyo, has been conducting tests with several companies in order to create a model tailored to each organization’s specific needs.

Employers can use the results to offer support to high-risk employees without revealing specific figures that could be alarming. This approach is particularly relevant in Japan, where approximately 10% of new college graduates quit their jobs within a year, and about 30% leave within three years, according to government data.

The development of this tool was also influenced by previous research that utilized AI to predict characteristics of university students likely to drop out, reflecting the need for predictive tools in various educational and professional settings. Overall, the tool offers a proactive approach to addressing employee turnover, potentially helping companies retain valuable talent.