T IMNIT GEBRU didn’t set out to work in AI. At Stanford, she studied electrical engineering — getting both a bachelor’s and a master’s in the field. Then she became interested in image analysis, ...

Lack of transparency and biased training data mean these tools are not fit for purpose. If we can’t fix them, we should ditch them. Yeshimabeit Milner was in high school the first time she saw kids ...

SAN FRANCISCO (Reuters) - Amazon.com Inc's machine-learning specialists uncovered a big problem: their new recruiting engine did not like women. The team had been building computer programs since 2014 ...