7 Reasons For Bias In AI and What To Do About It

In this contributed article, Alexandra Ebert, Chief Trust Officer at MOSTLY AI, discusses 7 important ways that machine learning models become biased along with techniques for prevention. The power of AI is that it can scale processes so effortlessly that they can amplify both the good and the bad way beyond the human scale.