The Danger of Reverse-Engineering of Automated Judicial Decision-Making Systems
This paper addresses the ethical and societal risks of deploying AI in high-stakes judicial contexts, particularly for human rights, for policymakers and legal practitioners.
This paper discusses the implications of using machine learning for judicial decision-making, particularly where human rights are at stake. It argues that such tools should be limited due to inherent status quo bias and the dangers of reverse-engineering, issues which ML exacerbates in existing judicial systems.
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.