Japanese researchers create an artificial intelligence tool that predicts when employees will quit

Mohamed Shalaby - | Mix

Soon, employers who are worried about how long a worker will stay on the job before quitting can rely on an AI-based tool to pinpoint workers who are most likely to leave the organization.

This tool was developed by Japanese academics to assist employers in offering targeted assistance to their staff members in an effort to deter them from leaving.

Tokyo is the location of OpenAI's first office in Asia.

The technology was developed by a Tokyo City University professor in collaboration with a local start-up business. It analyzes employee data, including age and gender as well as personal details like attendance rate.

The application can also be used to analyze data that has been left behind by departing personnel.

According to Professor Naruhiko Shiratori, who spoke with Agence France-Presse, the program uses all of this data to estimate, to the nearest percentage, the resignation rate of new hires.

He continued, "We are in the process of testing this tool in many companies, by creating a model for each of them."

Because the AI predicts that he is likely to "experience difficulties," employers can use the data to "suggest to an employee who is most likely to resign that the company is ready to support him," according to Shiratori, without disclosing to him the shocking nature of the findings.

The researchers expanded on a prior study that employed artificial intelligence to forecast the characteristics of college students who were likely to drop out in order to construct this tool.

Every April, new grads are typically hired by Japanese companies.

However, according to official data, roughly 10% of these workers quit within the first year, and over 30% do so within the first three years.

Given the significant population loss in the Japanese archipelago and the resulting labor shortage in many active areas, Japanese corporations are becoming more and more focused on their younger workforce.

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Mohamed Shalaby
Mohamed Shalaby
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