I want my model to be you know explainable so I wanted to be sparse I want the least amount of variables to be contributing to it what's the model gonna say the models gonna say Ferrari drivers add Lamborghini drivers good societal bias and machine learning is way different an example for this is when face detection systems work well on Caucasian people but don't work so well faced with people from other Heritage's and these societal biases are in the dataset as young account points out here if you change the dataset