Turning on the phone, Chen Kuan, a Shanghai citizen, found that there are too many apps that need face recognition every day. "From mobile banking apps to shopping apps, from cosmetics apps to game anti-addiction... at the end of the day, face will be scanned more than ten times.", Chen Kuan felt quite worried: "Although some apps use face recognition for the sake of use needs and security considerations, it does not give us the right to refuse to use it. Is this the abuse of face recognition technology? With the increasingly widespread application of face recognition technology, will it lead to personal information disclosure?" Chen Kuan's concern was not unreasonable. The reporter learned that face information is an immutable and unique biometric information, which is easy to be stolen or synthesized by criminals, crack face recognition verification procedures, infringe privacy, reputation and property, and the resulting cases are not rare. So why do many mobile apps use face recognition technology? In the process of use, how should we prevent the technology from being abused? Recently, the reporter conducted an interview. There are risks in the widespread use of personal information in face recognition. If you want to know the bill details of this month, you should first brush your face to verify your identity; You can enter the station and take the subway without scanning the code or buying tickets; If you want to handle relevant business, you should first swipe your face to register your account... The reporter found in the survey that face recognition traces can be found in many types of apps, from finance and e-commerce to travel and Meitu entertainment. In February 2022, there was a media survey on the issues related to face recognition technology. From the frequency of use, more than 90% of the respondents would use face recognition technology in their lives and work. Among them, 44.95% of respondents often use it and 48.88% of respondents occasionally use it. The survey also mentioned that since the implementation of the Personal Information Protection Law, nearly 40% of the respondents believe that the abuse of face recognition technology has improved. However, the reporter found that at present, there are still some apps that support face recognition function that do not have a clear face recognition use protocol and do not obtain user consent in the face recognition function. In the user's personal privacy policy, although the collection of face recognition and other information is included, there are also apps that do not highlight in form, so that users can clearly realize that biometric information such as face information is collected, but confuse "face information" with general personal information such as name. The reporter selected 10 popular consumer finance apps for personal information protection compliance measurement, and found that many financial consumer apps provide separate authorization pages and set special rules for face recognition functions, but some apps set the separate consent of face recognition and camera functions as the same authorization. In addition, some apps use the method of "no service without clicking on the consent of face recognition" to forcibly collect user personal information. The Compliance Report on Face Recognition Application Scenarios (2021) (hereinafter referred to as the Report) released by the Nandu Artificial Intelligence Ethics Research Group shows that it has evaluated and analyzed the compliance of 20 mobile face recognition applications, of which 60% of the apps with face recognition function do not have separate face recognition rules, and many A