Facial recognition failure sparks fears of machine-driven segregation

Facial recognition is notoriously prone to errors and biases. Numerousstudies have demonstrated that the software discriminates on race and gender, with Black women particularly vulnerable to the biases.

The errors have already led to wrongful arrests. But experts warn that the software is also propagating segregation.

“When we say this is a civil rights issue it goes beyond false arrests, it’s about who gets to access public spaces in a world of machine-driven segregation,” tweeted Ángel Díaz, a counsel in the Liberty and National Security Program at the Brennan Center.

Source: Facial recognition failure sparks fears of machine-driven segregation