From public health to AI safety: improving machine learning approaches by collecting, selecting, or reducing the need for high-quality data

<p>In this thesis, we make advances in several application areas, from public health to AI safety. In the process, we develop novel machine learning (ML) methods to tackle various challenges. In each application area, we take a data-centric approach: we develop a method to automatically select...