Statistical learning methods and cross-cultural fairness: Trade-offs and implications for risk assessment instruments.

The use of statistical learning methods has recently increased within the risk assessment literature. They have primarily been used to increase accuracy and the area under the curve (AUC, i.e.

Clients' current presentation yields best prediction of criminal recidivism: Jointly modeling repeated assessments of risk and recidivism outcomes in a community sample of paroled New Zealanders.

Objective: Clinicians often rely on readily observable intermediate outcomes (e.g., symptoms) to assess the likelihood of events that occur outside of treatment (e.

The cross-cultural fairness of the LS/RNR: An Australian analysis.

Objective: Cross-cultural research into risk assessment instruments has often identified comparable levels of discrimination. However, cross-cultural fairness is rarely addressed. Therefore, this study explored the discrimination and fairness of the Level of Service/Risk, Need, Responsivity (LS/RNR) within a sample of Aboriginal and Torres Strait Islander and non-Aboriginal and Torres Strait Islander males.

Ethics, Artificial Intelligence, and Risk Assessment.

A considerable number of papers have been published on the ethics of artificial intelligence for the purposes of violence risk assessment. In this issue of The Journal, Hogan and colleagues argue that artificial intelligence introduces novel concerns for violence risk assessment that require consideration. While the concerns that have been raised are entirely valid and require consideration, we argue that artificial intelligence does not herald a more serious or unique challenge in these areas relative to other forms of violence risk assessment.

Finding Colour in Conformity Part II-Reflections on Structured Professional Judgement and Cross-Cultural Risk Assessment.

There has been an increasing interest in cross-cultural risk assessment over the past 5 years. Much of this has been driven by concerns that particular risk instruments may be biased against, or ill-suited to, non-White offending populations. A growing body of work has asserted that unique cultural-specific risk factors and experiences may not be adequately considered within current risk assessment frameworks which have led to calls to culturally alter/remodel risk instruments.