# The Danger of Reverse-Engineering of Automated Judicial Decision-Making Systems

arXiv: https://arxiv.org/abs/2012.10301 · HTML: https://mlsanity.com/paper/2012.10301/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Dec 2020.

## Built on by (most cited first, 1 of 1)

- [VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights](https://mlsanity.com/paper/2310.11368/) (2023)

## Abstract (arXiv)

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.