Abstract Machine Learning has become a popular tool in a variety of applications in criminal
justice, including sentencing and policing. Media has brought attention to the possibility of …

Ethics, explainability, responsibility, and accountability are important concepts for
questioning the societal impacts of artificial intelligence and machine learning (AI), but are …

This article introduces the concept of Artificial Intelligence (AI) to a criminological audience.
After a general review of the phenomenon (including brief explanations of important cognate …

Objectives Test whether (1) people view a policing decision made by an algorithm as more
or less trustworthy than when an officer makes the same decision;(2) people who are …

We present a survey of tools used in the criminal justice system in the UK in three
categories: data infrastructure, data analysis, and risk prediction. Many tools are currently in …

This paper synthesizes scholarship from several academic disciplines to identify and
analyze five major ethical challenges facing data-driven policing. Because the term “data …

Featured Application The study synthesizes qualitative analysis to (1) highlight potential
societal benefits and the ethical concerns of artificial intelligence (AI) technologies in …

Surveillance technologies such as Closed-Circuit Television support an effective crime-
preventing strategy and offer opportunities to improve accountability. However, trends within …

This commentary draws critical attention to the ongoing commodification of trust in policy
and scholarly discourses of artificial intelligence (AI) and society. Based on an assessment …

With growing evidence of digital policing tools as social control technologies in terms of data-
driven predictive algorithms, automated facial recognition surveillance, and law enforcement …