Senators Call For Probe Into Facial Recognition Database

May 21, 2022 Topic: Facial Recognition Region: Americas Blog Brand: Politics Tags: ID.meIRSFacial RecognitionTaxesUnited States

Senators Call For Probe Into Facial Recognition Database was using a “one-to-many” database for use of facial recognition for tax filings.


Last year, the Internal Revenue Service (IRS) briefly teamed up with, a private-sector vendor, to layer additional security on tax filings. The arrangement involved the granting of an $86 million government contract. 

Eventually, there was an outcry when it turned out was using a “one-to-many” database for use of facial recognition for tax filings. In February, the IRS announced that the deal was off and that the agency “will transition away from using a third-party service for facial recognition to help authenticate people creating new online accounts.” 


"The IRS takes taxpayer privacy and security seriously, and we understand the concerns that have been raised," IRS commissioner Chuck Rettig said at the time. "Everyone should feel comfortable with how their personal information is secured, and we are quickly pursuing short-term options that do not involve facial recognition.”

Now, a great of senators have written a letter to the Federal Trade Commission and its chair, Lina Khan, calling for further investigation of 

“We write to urge the Federal Trade Commission (FTC) to investigate evidence of deceptive statements made by — a provider of identity verification services widely used by federal and state government agencies — about its use of facial recognition,” the senators, led by Sen. Ron Wyden (D-OR), wrote in the letter. 

The other signatories were three other Democrats: Sen. Edward Markey (D-MA), Sen. Alex Padilla (D-CA), and Sen. Cory Booker (D-NJ). 

The letter added that while the IRS ultimately kiboshed its deal with, other government agencies remain in business with the company.  

“In public statements and blog posts, has frequently emphasized the difference between two types of facial recognition: one-to-one versus one-to-many. In one-to-one facial recognition, one photo is compared to a single other photo to confirm that both are of the same person. uses one-to-one facial recognition to compare an applicant’s submitted selfie against a photo the applicant provides of their driver’s license or passport. In contrast, one-to-many facial recognition involves comparing a face against a database of other faces to find any potential matches.” 

However, later admitted that they do, in fact, use that type of recognition, which was part of what ultimately scuttled the IRS’ deal with the company. Now, Wyden and the other senators argue that the company engaged in deceptive business practices. 

“We therefore request that you investigate evidence of’s deceptive public statements to determine whether they constitute deceptive and unfair business practices under the Section 5 of the FTC Act,” the senators wrote to the FTC chair. 

Stephen Silver, a technology writer for The National Interest, is a journalist, essayist and film critic, who is also a contributor to The Philadelphia Inquirer, Philly Voice, Philadelphia Weekly, the Jewish Telegraphic Agency, Living Life Fearless, Backstage magazine, Broad Street Review and Splice Today. The co-founder of the Philadelphia Film Critics Circle, Stephen lives in suburban Philadelphia with his wife and two sons. Follow him on Twitter at @StephenSilver.

Image: Reuters.