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Advanced approaches to predicting offending are increasingly transpiring without the forensic psychology discipline's involvement – an area that it has piloted and influenced for many decades. Computer science experts have built an impressive decade-long literature base on risk assessment – a technical literature that is not only progressing at a fast pace, but appears to function independently, for the most part, from the forensic risk assessment literature. This paper outlines the potential utility of machine learning approaches and the broader 'algorithmic culture', for forensic risk assessment, and the implications their use (and non-use) may have for the discipline. [ABSTRACT FROM AUTHOR]

There is emerging recognition that positive or pro-social characteristics may lessen criminal propensity. There are now several adult and youth forensic instruments that include protective or strength components. Yet evidence supporting the protective capacities of these instruments with youth offending populations is still developing. This study aimed to identity the prevalence of strength items on the Youth Level of Service/Case Management Inventory tool, and their relationships with risk and re-offending for a cohort of 212 multi-cultural Australian juveniles in custody. The prevalence of strengths in the sample was low, and differed by cultural group. Young people who possessed a strength yielded lower instrument total and domain scores and were more likely to be afforded a lower level of risk compared to youth without a strength. Moreover, youth who possessed a strength were significantly more likely to desist from re-offending. This association remained after controlling for level of risk. Findings point to the importance of strengths when assessing a young person’s risk for re-offending. [ABSTRACT FROM AUTHOR]