Google's DeepMind Has An Idea For Stopping Biased AI

CEO of Google DeepMind Demis Hassabis speaks during a press conference after finishing the third match of the Google DeepMind Challenge Match between South Korean professional Go player Lee Sedol and Google's artificial intelligence program, AlphaGo in March 2016 (AP Photo/Lee Jin-man) Artificial intelligence is destined to power some of our most important services, but there's growing concern that it could repeat much of the prejudice that humans have about race, gender and more because of the way it's built. Simply put, when artificial intelligence is trained with biased data, it can make biased decisions. By way of example, facial recognition systems from IBM and Microsoft were recently shown to have struggled to properly recognize black women, while software used to help courts predict criminality has skewed towards black men. An experiment by Carnegie Mellon university also showed back in 2015 that "significantly fewer" women were being shown online ads for jobs paying more than $200,000. All of these systems were powered by machine-learning, which to most people would appear to be at the cutting edge of technology.