What if law enforcement had the capability, using proven and highly accurate technology, to identify potential suspects after a crime had been committed or if someone, such as a child, was missing?
If we mean the use of DNA evidence to solve crime, the technology that has been widely used for decades in law enforcement, it’s a no brainer.
In contrast, law enforcement’s use of facial recognition technology (FRT), even if it serves many of the same public safety purposes in the same application as forensic DNA evidence – including assisting in the release of the innocent as well as conviction of the guilty – met by many with no basis. doubt.
Recent high-profile examples show how facial recognition technology serves the public good.
When rioters stormed the U.S. Capitol to prevent Congress from certifying the 2020 election, face recognition technology helped – using publicly available images – to reveal the potential identities of the individuals involved in the riot.
In the aftermath of the senseless attack on Russia, the Ukrainian government effectively used the FRT to identify dead Russian soldiers, investigate war crimes in Bucha and help family reunification and evacuation of refugees – all from of information available to the public.
Of course, most of the practical applications of FRT in law enforcement scenarios are not very clear although they are important in the administration of justice, such as helping to identify child predators, resolving cold case cases. crime and prosecution of financial crimes.
Despite the obvious benefits, many state and local government entities restrict or prohibit the use of facial recognition technology, largely due to misunderstandings of how FRT works.
The oldest companies like the one I founded, Clearview AI, knew that FRT should be used for the best and highest possible purpose while actively limiting any potential damage. We have the top-rated face recognition technology in the US, as certified by the National Institute for Standards and Technology. Our algorithm can select the right person from a lineup of 12 million photos with a staggering 99.85 percent accuracy rate, and work with equal effectiveness regardless of race, age, gender or other characteristics. demographics.
Our image repository contains public data available in typical Google searches, from news media, mugshots, public social media and other open sources. This means that if the content of a social media post is done in private mode, it will not appear in the search results.
The Clearview AI face recognition database is only available to government agencies that may only use the technology to assist in the flow of law enforcement or national security-related investigations. And law enforcement’s use of FRT is not “real-time surveillance,” defined as live behavior monitoring.
We believe that the FRT can be deployed in a way that protects fundamental freedoms and human rights, if used in a post -crime manner. In fact, the right FRT can make police descriptions like “a six-foot-one, male African-American” a thing of the past, creating a world with little unnecessary police interaction. In addition, it promises to help reverse false convictions, prevent discrimination, release the innocent and eliminate the police line.
We urge government entities to adopt common sense law and/or regulation, and best practice practices.
Law enforcement agencies should make their facial recognition policies public, outlining the use cases, situations and types of crimes in which they will use facial recognition. Effective training protocols must be established and any FRT system must have an administrator to manage access and manage the use of the technology. The system must have effective reporting tools that can generate usage and audit reports.
Finally, users should not rely on the results of an FRT search as the only way to identify a suspect – every possible match should be confirmed through independent, verifying information.
We are now in the third decade of the 21st century. Face recognition technology should be used for good. With the right purpose, prevention and regulation, it can help solve crimes, help victims and ultimately make the world a safer place.
Hoan Ton-That is the co-founder and CEO of Clearview AI. To learn more visit www.clearview.ai