Posts tagged Machine-Learning.
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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.”

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