Jesper Ryberg

Julian V. Roberts

The first collective work devoted exclusively to the ethical and penal theoretical considerations of the use of artificial intelligence at sentencing Is it morally acceptable to use artificial intelligence (AI) in the determination of sentences on those who have broken the law? If so, how should such algorithms be used--and what are the consequences? Jesper Ryberg and Julian V. Roberts bring together leading experts to answer these questions. Sentencing and Artificial Intelligence investigates to what extent, and under which conditions, justice and the social good may be promoted by allocating parts of the most important task of the criminal court--that of determining legal punishment--to computerized sentencing algorithms. The introduction of an AI-based sentencing system could save significant resources and increase consistency across jurisdictions. But it could also reproduce historical biases, decrease transparency in decision-making, and undermine trust in the justice system. Dealing with a wide-range of pertinent issues including the transparency of algorithmic-based decision-making, the fairness and morality of algorithmic sentencing decisions, and potential discrimination as a result of these practices, this volume offers avaluable insight on the future of sentencing.

Sentencing and Artificial Intelligence

The five countries examined are the United States, the United Kingdom, Canada, Australia and New Zealand.

Lessons from Five Countries

Penal Populism and Public Opinion

The criminal justice system is wide ranging: it covers crimes, policing, the sentencing of offenders, and prisons. This title draws upon the latest research and current practices from around the world. Focusing on the adversarial model of justice found in common law countries such as the US, UK, Canada, and Australia, it discusses topics such as the uses of imprisonment, the effects of capital punishment, and the purposes of sentencing. Considering the role of the victim, as well as public knowledge and attitudes towards criminal justice, it assesses the way in which the system functions.

A Very Short Introduction

Criminal Justice

Richard S. Frase

All modern sentencing systems, in the US and beyond, consider the offender's prior record to be an important determinant of the form and severity of punishment for subsequent offences. Repeat offenders receive harsher punishments than first offenders, and offenders with longer criminal records are punished more severely than those with shorter records. Yet the vast literature on sentencing policy, law, and practice has generally overlooked the issue of prior convictions, even though this is the most important sentencing factor after the seriousness of the crime. In Paying for the Past, Richard S. Frase and Julian V. Roberts provide a critical and systematic examination of current prior record enhancements under sentencing guidelines across the US. Drawing on empirical data and analyses of guidelines from a number of jurisdictions, they illustrate different approaches to prior record enhancements and the differing outcomes of those approaches. Roberts and Frase demonstrate that most prior record enhancements generate a range of adverse outcomes at sentencing. Further, the pervasive justifications for prior record enhancement, such as the repeat offender's assumed higher risk of reoffending or greater culpability, are uncertain and have rarely been subjected to critical appraisal. The punitive sentencing premiums for repeat offenders prescribed by US guidelines cannot be justified on grounds of prevention or retribution. Shining a light on a neglected but critically important topic, Paying for the Past examines the costs of prior record enhancements for repeat offenders and offers model guidelines to help reduce racial disparities and reallocate criminal justice resources for jurisdictions who use sentence enhancements.

Julian V. Roberts

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