SIA Issues Facial Recognition Policy Guidelines

The Security Industry Association says all technology, including facial recognition, must only be used in a lawful, ethical and nondiscriminatory fashion.

SIA Issues Facial Recognition Policy Guidelines

Security check concept. Scan of young guy against virtual screen with data, copy space. Panorama

Silver Spring, Maryland — The Security Industry Association (SIA) has released its new policy principles guiding the development and deployment of facial recognition technology. In a statement released on Wednesday, SIA said all technology products, including biometric identification, must only be used for purposes that are lawful, ethical and nondiscriminatory.

“SIA recognizes that some community leaders have expressed deeply-held views calling for the end of facial recognition technology use by law enforcement and the private sector. We respectfully but firmly disagree. Facial recognition technology offers tremendous benefits to society when used effectively and responsibly and with appropriate safeguards,” SIA CEO Don Erickson said in the press release. “We invite all stakeholders to review these well-thought-out principles and engage with us in meaningful discussions leading to common-sense approaches to how this technology is used.”

SIA has committed to the following principles to be used in the development and deployment of face recognition technology. SIA states these principles should apply to implementation of face recognition tools across safety and security applications, in both public- and private-sector settings, and that they should be reflected in development of any organizational or public policies addressing these uses of the technology.

The core principles include:

These core policy principles were developed by and with input from many SIA members, including members of the SIA Facial Recognition Working Group, the SIA Data Privacy Advisory Board and the SIA Executive Committee. In addition to the core principles, the new document includes guidelines around the use of face recognition technology by law enforcement and the public and private sectors.

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