I am a researcher in the Machine Learning Research team at Apple. Within Machine Learning my interests are in robustness, fairness, causality, uncertainty estimation, and explainability of deep learning. I wish one day we will be able to build models that are robust and fair but also interpretable by construction in order to enable real and effective human-machine interaction. In order achieve such result I believe the research community needs to work collaboratively and be supportive of each other. I believe the “I can’t believe is not better” initiative incarnates these sentiment and this is why I decided to give my contribution to the initiative.