AI sentencing tools need to be closely scrutinised, says new study

algorithm
Credit: CC0 Public Domain

In a paper published by the Behavioral Sciences & Law journal, experts from the University of Surrey take a critical look at the growing use of algorithmic risk assessment tools, which act as a form of expert scientific evidence in a growing number of criminal cases.

The review argues that because of several issues, such as the biases of the developers and weak statistical evidence of the AI's predictive performance, judges should act as gatekeepers and closely scrutinise whether such tools should be used at all.

The paper outlines three steps that judges should consider:

  • Fitness, this is to consider whether using the AI is relevant to the case at all
  • Accuracy, this is to understand whether the tool can truly distinguish between reoffenders and non-reoffenders
  • Reliability, this would require the judges to scrutinise the trustworthiness of tool's outcomes in practice. This stage would not be required if the found the AI lacking in the one of the first two steps.

Dr. Melissa Hamilton, author of the paper and Reader in Law and Criminal Justice at the University of Surrey's School of Law, said: "These emerging AI tools have the potential to offer benefits to judges in sentencing, but close attention needs to be paid to whether they are trustworthy. If used carelessly these tools will do a disservice to the defendants on the receiving end."


Explore further

Evidence reveals risk assessment algorithms show bias against Hispanic population

More information: Melissa Hamilton, Judicial gatekeeping on scientific validity with risk assessment tools, Behavioral Sciences & the Law (2020). DOI: 10.1002/bsl.2456
Citation: AI sentencing tools need to be closely scrutinised, says new study (2020, June 9) retrieved 15 June 2021 from https://phys.org/news/2020-06-ai-sentencing-tools-scrutinised.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.
7 shares

Feedback to editors

User comments