Bias in machine learning, and how to stop it - TechRepublic

As AI becomes increasingly interwoven into our lives--fueling our experiences at home, work, and even on the road--it is imperative that we question how and why our machines do what they do. Although most AI operates in a "black box" in which its decision-making process is hidden--think, why did my GPS re-route me?--transparency in AI is essential to building trust in our systems. But that transparency is not all we want: We also need to ensure that AI decision-making is unbiased, in order to fully trust its abilities. The issue of bias in the tech industry is no secret--especially when it comes to the underrepresentation of and pay disparity for women. But bias can also seep into the very data that machine learning uses to train on, influencing the predictions it makes.