Oosto's open letter to the white house lists 6 common use cases of facial recognition and the risks of each

The United States government is seeking information from both the public and private sector on how biometric data is being used for identification purposes, according to a request for information (RFI) OSTP recently posted on the Federal register. The Office of Science and Technology Policy (OSTP), led by Dr. Eric Lander – 11th Director of the OSTP, the first in U.S. history to serve in the President’s Cabinet, and to serve as the President’s Science Advisor – issued the Request for Information.

“The White House is looking for any past deployments, trials, proposals, or pilots, as well as any current uses of biometric tech for “identity verification, identification of individuals, and inference of attributes including individual mental and emotional states,” according to the RFI.

Facial recognition technology

Oosto responded to the RFI to emphasise the company’s mission in developing and deploying facial recognition technology that serves the best interests of society by helping to protect and preserve lives, properties, employee safety, and intellectual assets.

Facial recognition technology is an asset to physical security, and how its application varies within different societal contexts

The company defined commercial use cases as uniquely distinct from law enforcement use cases to help underscore how facial recognition technology is an asset to physical security, and how its application varies within different societal contexts.

In the open letter, Oosto CEO, Avi Golan, issued a call to action for regulatory authorities to implement responsible and meaningful policies that support the deployment of ethical facial recognition technologies which positively impact safety and security, productivity, and customer experience, with appropriate safeguards to privacy and personal identity. 

Power of visual AI

“It is critical that government leaders recognise the power of visual AI to save and sustain lives,” stated Golan.

“Visual AI today is often misunderstood or misrepresented. As a world-leading firm in this space, we encourage regulators to conduct thoughtful due diligence to provide meaningful guidance and an appropriate legal framework regulating the use of biometrics in context-specific scenarios. Moreover, we need a cohesive national policy for the ethical use of facial recognition vs. a patchwork quilt of differing state-level regulations which make commercial compliance challenging.”

Operational benefits for the commercial sector

Context-specific use cases have been cited as a key distinguishing factor in determining public favour, or opposition

Facial recognition technology offers numerous operational benefits that enhance the safety and productivity of commercial entities, the public service sector, and law-abiding citizens. Context-specific use cases, however, have been cited as a key distinguishing factor in determining public favour, or opposition to, its use. 

Research has shown that public trust or mistrust in biometrics is not driven by a specific type of biometric technology, but rather by the contextual factors involved in the application. 

Influence of demographic bias

There has also been considerable discourse about the role of demographic bias and how that influences facial recognition - such claims have been overstated.

The Security Industry Association (SIA) has noted that the top-tier vendors of facial recognition algorithms have demonstrated “undetectable” demographic differences, while a lead researcher from the U.S. National Institute of Standards and Technology (NIST) found that results from biased studies were being “overgeneralised and misinterpreted” by some media entities. 

Facial biometrics technology

Golan continued, “Facial biometrics technology can empower businesses and government agencies with a safe and holistic solution while continuing to safeguard civil liberties and human privacy rights; one is not exclusive of the other."

"We are confident that as the facial recognition industry matures, and adoption rates continue to increase, optimal outcomes will be achievable for all stakeholders. This starts with a common definition of what constitutes “ethical facial recognition.”