  In this paper we discuss the implications of using machine learning for
judicial decision-making in situations where human rights may be infringed. We
argue that the use of such tools in these situations should be limited due to
inherent status quo bias and dangers of reverse-engineering. We discuss that
these issues already exist in the judicial systems without using machine
learning tools, but how introducing them might exacerbate them.
