Machine Learning Interpretability

There's this natural attraction to black box tools. And i think that also spakes to the fact that pursuing, let's say, accuracy or model performance at the expense of other other qualities is also inherently dangerous,. Now we're seeing kind of arise in a desire and need in society for machine learning interpretability. Which brings us back to more substantive experts. A if if there's one thing that i wish i could have been clearer on when i introduced it, is that it wasn't called the data science ven diagram was not caled the data scientists ven diagram.