Contact company icon Add as a preferred source Download PDF version

The Security Industry Association (SIA), the trade association representing more than 1,000 companies and organizations developing and delivering security solutions, thanks the National Institute of Standards and Technology (NIST) for its thoughtful and diligent work producing a report evaluating the performance of current facial recognition technology across demographic groups.

Facial recognition is a fast-advancing technology in a constant cycle of improvements and is widely adopted across the public and private sectors. Reports from non-biased organizations like NIST are immensely valuable. SIA commends NIST for encouraging research organizations to examine this issue comprehensively, rather than publish incomplete research in order to generate attention.

Benefits for homeland security

Demographic differentials are lessening due to high-performing algorithms producing fewer errors

Facial recognition solutions offer tremendous benefits for homeland security and public safety applications, and the clear advantages of this technology necessitate that steady improvements be made and documented to ensure that the public can trust this technology’s public benefits.

The NIST report found that demographic differentials are lessening due to many of the high-performing algorithms producing fewer errors. The report also emphasized that many facial recognition use scenarios require trained humans to remain integral to the process. Whether in an investigation of a potential crime or identifying an individual at a port of entry, SIA believes trained personnel are critical to the successful deployment of this technology.

Facial recognition processing algorithms

In light of the NIST report, SIA encourages its members and all facial recognition technology companies to strive to eliminate bias from within facial recognition processing algorithms, and SIA encourages such firms to enlist diverse data sets when testing their algorithms.

“The NIST study provides clear data that can help shape advances in facial recognition,” said Don Erickson, CEO of SIA. “SIA encourages collaborative efforts by member companies and involving key stakeholders with the goal of improving facial recognition algorithms and eliminating significant accuracy variation or potential bias. Our members look forward to a strong continued working relationship with NIST and its scientists as these technologies improve and go even further in protecting human lives.”

In case you missed it

Responsible AI Adoption Starts With Governance
Responsible AI Adoption Starts With Governance

The eagerness to adopt AI in physical security is increasing as teams want to implement technology solutions for faster, smarter operations. At the same time, the conversations sur...

How AI-Enabled Cameras Are Becoming Operational Sensors That Power Safety, Automation, And Business Intelligence
How AI-Enabled Cameras Are Becoming Operational Sensors That Power Safety, Automation, And Business Intelligence

The biggest return on investment from an AI-enabled camera might have nothing to do with security. Organizations are increasingly discovering that the same cameras installed to pro...

Solink's AI Agents Boost Efficiency Of Existing Infrastructure With Automation
Solink's AI Agents Boost Efficiency Of Existing Infrastructure With Automation

Deploying artificial intelligence (AI) tools should be seen as a business initiative rather than a technology initiative, says Martin Soukup, CTO of Solink, a cloud-based video sec...