What AI can teach us about human bias in decision making

#artificialintelligence 

We can see, therefore, that the medical world is a good, real-world example of what happens when you rely on one side of the argument to drive decisions and outcomes. This is why we need to actively tilt the gender balance to improve the overall system. A homogeneous group will have a hard time empathizing with those who do not share their life experiences. If you do not actively pursue diversity, the status quo will remain. That is just how decisions are made.