Hunton Employment & Labor Perspectives

Uber Technologies, Inc. has been sued in a class action lawsuit alleging the company’s use of criminal background checks discriminates against Black and Latinx drivers. The complaint, filed in the U.S. District Court for the Southern District of New York on April 8, challenges Uber’s “unlawful use of criminal history to discriminate against its drivers in New York City as well as its brazen noncompliance with human rights and fair credit laws.”

Named plaintiff Job Golightly, a Black resident of Bronx County, New York, drove for Uber from 2014 through August 2020. Golightly claims that his criminal history consists of a single 2013 misdemeanor speeding violation from Virginia. According to the lawsuit, until 2017 Uber had relied solely on background checks conducted by the New York City Taxi and Limousine Commission (TLC). Plaintiffs allege that in mid-2017, in response to negative news coverage on assaults committed by drivers, Uber began using the credit reporting agency Checkr to conduct additional background checks on current and prospective drivers. As a result, in August 2020 Uber allegedly conducted a background check on Golightly that revealed his 2013 speeding violation. One day later, Golightly claims that Uber deactivated him from its platform, preventing him from driving for the company.

Ten U.S. senators are asking the U.S. Equal Employment Opportunity Commission to hone in on employers’ use of artificial intelligence (“AI”), machine-learning, and other hiring technologies that may result in discrimination.

The group of senators—Michael Bennet (D-CO), Cory Booker (D-NJ), Sherrod Brown (D-OH), Elizabeth Warren (D-MA), Catherine Cortez Masto (D-NV), Chris Coons (D-DE), Ron Wyden (D-OR), Tina Smith (D-MN), Chris Van Hollen (D-MD), and Jeff Merkley (D-OR)—jointly penned a December 8, 2020 letter to Chair Janet Dhillon. The letter urges that EEOC is responsible for combatting discrimination resulting from the use of hiring and other employment technologies. The senators voice concern about a number of hiring technologies, including:

• “[T]ools used in the employee selection process to manage and screen candidates after they apply for a job”;
• “[N]ew modes of assessment, such as gamified assessments or video interviews that use machine-learning models to evaluate candidates”;
• “[G]eneral intelligence or personality tests”; and
• “[M]odern applicant tracking systems.”

The Federal Reserve anticipates an approximate two percent reduction in unemployment by June 2021, envisioning rapid mass-hiring by employers once governments lift the more stifling COVID-19 restrictions.  Businesses requiring pre-employment background checks may be uniquely exposed to liability under the Fair Credit Reporting Act (“FCRA”) if minor mistakes are amplified by mass-hiring events.

On November 22, 2019, the federal Consumer Financial Protection Bureau (CFPB) filed a complaint in the U.S. District Court for the Southern District of New York against Sterling Infosystems, Inc. (“Sterling”) regarding allegations that it violated the Fair Credit Reporting Act (FCRA) in providing criminal background checks to employers.  Sterling is a “consumer reporting agency” as defined by the FCRA, which provides background check results to employers when requested.  The CFPB is an independent federal agency tasked with regulating and enforcing a host of consumer protection and financial protection statutes, including the FCRA.