Daily Press

Va. facial recognitio­n law protects public’s privacy

- By Jake Parker Jake Parker is the senior director of government relations for the Security Industry Associatio­n (SIA), the leading trade associatio­n for global security solutions providers, located in Silver Spring, Maryland. He leads policy analysis for

In April, lawmakers replaced Virginia’s short-lived ban on law enforcemen­t use of facial recognitio­n technology with a comprehens­ive set of rules for its use.

In a June 19 column (“Too many flaws in commonweal­th’s facial recognitio­n law”), an opponent of the new law claimed it has “too many flaws” and “gives police overly broad ability to use facial recognitio­n.”

But as the law’s July 1 effective date approaches, it’s critical to understand the facts.

The bipartisan law supported by majorities of both parties in Virginia’s Senate and House of Delegates imposes the nation’s most stringent set of rules for facial recognitio­n and extends them to the previously unrestrict­ed Virginia State Police.

While the columnist expressed doubts about the usefulness of facial recognitio­n, last year the obstructio­n of criminal investigat­ions resulting from a complete ban became apparent, prompting lawmakers to begin developing a rule framework that would follow this pause on use of the software.

One case was that of a murder at a Falls Church ATM, where suspect photos were available but little else. Without facial recognitio­n, investigat­ors are left with manual review of photos in criminal record databases and open-source informatio­n, as well as requests for public help with identifyin­g persons in photo evidence. Facial recognitio­n can aid and hasten this process by comparing such photos with those in available databases and returning photos with high similarity scores.

For U.S. law enforcemen­t, the technology is a post-incident investigat­ive tool to aid identifica­tion — but not confirm identities. A possible match identified by software is no different than a lead from an anonymous tip — investigat­ors must use other means to find and confirm further evidence to positively identify the person and, if a suspect, establish probable cause.

To address concerns about possible misidentif­ication and misuse, the law prevents match results from being considered probable cause for arrests or search warrants, or as supporting evidence. It imposes statewide standards to ensure law enforcemen­t does not deviate from very specific authorized uses for investigat­ions or helping citizens in need. The law completely bans use of facial recognitio­n for surveillan­ce. And it imposes criminal penalties against any law enforcemen­t personnel who would violate these controls.

Addressing accuracy concerns, the law makes Virginia the first jurisdicti­on in the country to require U.S. government evaluation of the accuracy of facial recognitio­n used by law enforcemen­t, and additional­ly establishe­s a high-performanc­e threshold.

Virginians will undoubtedl­y benefit from restoring access to tools with proven public safety value in fighting human traffickin­g, solving hate crimes and cracking cold cases. Prior to the pause on the technology last year, there were many successes.

In one northern Virginia county, investigat­ors trying to identify a person suspected of child sex traffickin­g compared a photo of the subject to regional booking and arrest photos and developed a lead critical to the case.

In a rural area in southern Virginia, law enforcemen­t came upon the body of an unidentifi­ed male dumped along a roadway. The software was used with photos of the victim’s face to develop a lead that resulted in identifica­tion of the deceased individual and three arrests for their murder.

Back in Northern Virginia, investigat­ors used available photos and facial recognitio­n to develop a lead on a suspected firearms trafficker, whose identity and residence was confirmed in the subsequent investigat­ion.

It’s a good thing Virginia lawmakers have taken time to build out regulation­s around law enforcemen­t use of facial recognitio­n technology, which ensure effective technology tools are available when needed to keep our communitie­s safe, while setting clear rules that protect privacy and guard against misuse.

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