How do we practice responsible AI?

A key component to make sure that we develop responsible AI is diversity. This is because an AI application reflects and even amplifies the biases of its developers. As I discussed in my previous post, a diverse team will see things from many different points of view and help to reflect many different perspectives in the data. What can we do besides making sure our teams are diverse? Without claiming to have the complete answer, I would like to share some thoughts.