AI bias is a negative result of supervised machine learning when benchmarks to create the program are based on a specific group – such as predominantly white men – and a minority is later introduced when using the AI in practice. To put it simply, AI learns how to do what it does by referring to human data. If that data is swayed by being disproportionately composed of white male behavior, it can result in AI that disfavors or is less equipped to handle women, people of color, people with disabilities, and other minority communities.