Automated Decision-Making And Its Impact On The Criminal Justice System Through The Lens Of Roses Review Protocol

Abstract

The principle that ‘everything that is not forbidden is allowed’ is linked to the principle of legality, which means that there can be no crime or punishment without criminal law. With the disruption of artificial intelligence, algorithmic decision-making in criminal law has become significant. Through a systematic literature review, the authors investigate different tools used in automated decision-making in varied jurisdictions and their prediction techniques to understand the public perception of crime analysis, ethical grounds and limitations. The paper would contribute to assessing the concerns raised regarding the potential for bias in these systems exist. Furthermore, the question about an individual's accountability (mens rea) concerning criminal conduct (actus reus) vis-à-vis an algorithmic agent’s accountability in predicting crime and delivering a verdict would determine the preparedness for adopting artificial intelligence in the criminal justice system. The literature review will utilise RepOrting standards for Systematic Evidence Syntheses (ROSES) standards of publication involving articles and research papers from three databases: SCOPUS and Web of Science. The paper intends to highlight the gaps for further improvement of artificial intelligence algorithms in the decision-making under the criminal justice system for future researchers