Data Science, Machine Learning, Statistics.
In many cases, the interpretable model is similarly performant to a more complex model anyway. That is, you may not be losing much predictive power. My team often makes these tradeoffs, i.e., choosing an interpretable model when working in close partnership with a business team where we care more