Aspects of Transparency in Machine Learning
Abstract
The fact that machine learning is growing more and more entrenched in almost every aspect of society, combined with the opacity of various of its algorithms has induced the relatively young research area of transparent machine learning. The aim of this domain is to provide explanations for automated decisions to increase public trust. In my thesis, I am going to consider certain problems that arise from this research agenda. Particularly, I so far considered, the dilemma of conflicting explanations and the issue of privacy concerns arising from transparency.