The data used to train AIs reflects society’s stereotypes and biases, such as against underrepresented groups. Keeping sensitive data, such as health data, private while ensuring it is not biased requires adapting training methods. Several scandals have erupted in recent years involving decision-making systems based on artificial intelligence (AI) that produce racist or sexist results. […] … learn more→