Even When Spotting Gender, Current Face Recognition Tech Works Better for White Dudes

A new review of face recognition software found that, when identifying gender, the software is most accurate for men with light skin and least accurate for women with dark skin. Joy Buolamwini, an MIT Media Lab researcher and computer scientist, tested three commercial gender classifiers offered as part of face recognition services. As she found, the software misidentified the gender of dark-skinned females 35 per cent of the time. By contrast, the error rate rate for light-skinned males was less than one percent. Read More >>

Google Has Made It Simple for Anyone Tap Into Its Image Recognition AI

Google released a new AI tool on Wednesday designed to let anyone train its machine learning systems on a photo dataset of their choosing. The software is called Cloud AutoML Vision. In an accompanying blog post, the chief scientist of Google’s Cloud AI division explains how the software can help users without machine learning backgrounds harness artificial intelligence. Read More >>