Zhihu job resignation prediction system sparks backlash
Zhihu job resignation prediction system sparks backlash
Occurred: February 2022
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A tool used by Chinese question-and-answer platform Zhihu to predict employee resignations caused outrage when workers discovered they were being covertly monitored.
An anonymous whistleblower at Zhihu reported that they had been fired after their manager discovered their intention to quit, blaming the action on the system’s predictions.
The system concerned was Sangfor Technologies' 'Behavioral Perception System', which purportedly calculated employees’ perceived resignation risk by tracking their browsing history, including visits to recruitment websites, and conversations with coworkers, and flagging people talking about 'bad treatment', 'no prospects', and 'low wages'.
Despite Zhihu saying it was not using the system for monitoring employees, the incident triggered outrage amongst Chinese internet users, who criticised Zhihu and the technology developer for unreasonable surveillance and abuse of privacy. The system was also accused of being inaccurate and unreliable.
Sangfor removed information about its product from its website after news of the Zhihu firing hit the headlines.
Predictive analytics
Predictive analytics is a form of business analytics applying machine learning to generate a predictive model for certain business applications.
Source: Wikipedia 🔗
Behavioral Perception System
Operator: Zhihu; Sina; China Everbright Bank Shenzhen; East China Normal University
Developer: Sangfor Technologies
Country: China
Sector: Business/professional services
Purpose: Predict employee resignations
Technology: Prediction algorithm
Issue: Accuracy/reliability; Privacy; Surveillance; Transparency
https://pandaily.com/zhihu-denies-using-behavior-perception-system-to-monitor-employees/
https://min.news/en/news/74e2da852e7989f59e5dc538d54263a5.html
https://min.news/en/economy/a9cbaa4d0f1560e8e82c50b2f5f02f12.html
https://www.airvers.com/convinced-employee-monitoring-business/
https://finance.sina.com.cn/tech/2022-02-16/doc-ikyamrna1053375.shtml
https://finance.sina.com.cn/tech/2022-02-16/doc-ikyamrna1053375.shtml
https://baijiahao.baidu.com/s?id=1724730759282942515&wfr=spider&for=pc
Page info
Type: Incident
Published: March 2022