Artificial Intelligence Has a Problem With Gender and Racial Bias. Here’s How to Solve It

We often assume machines are neutral, but they aren’t. Buolamwini research uncovered large gender and racial bias in AI systems sold by tech giants like IBM, Microsoft, and Amazon. Given the task of guessing the gender of a face, all companies performed substantially better on male faces than female faces. The companies I evaluated had error rates of no more than 1% for lighter-skinned men. For darker-skinned women, the errors soared to 35%. AI systems from leading companies have failed to correctly classify the faces of Oprah Winfrey, Michelle Obama, and Serena Williams. When technology denigrates even these iconic women, it is time to re-examine how these systems are built and who they truly serve. READ MORE ON: TIME

CultureYusra Hamid