Search

Your search keyword '"Julian, V."' showing total 101 results
Start Over Author "Julian, V." Publisher oxford university press
101 results on '"Julian, V."'

18. Sentencing and Artificial Intelligence

Author

Ryberg, Jesper and Roberts, Julian V.

Subjects
Artificial Intelligence, AI, criminal sentencing, legal punishment, criminal justice, law, thema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LNF Criminal law: procedure and offences::LNFB Criminal justice law, thema EDItEUR::J Society and Social Sciences::JK Social services and welfare, criminology::JKV Crime and criminology, thema EDItEUR::L Law
Abstract

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.

Published
2022

31. Coverage bias in traditional telephone surveys of low-income and young adults

Author

Blumberg, Stephen J. and Luke, Julian V.

Subjects
Telephone surveys -- Demographic aspects, User surveys -- Economic aspects, User surveys -- Demographic aspects, Cellular telephones -- User statistics, Cellular telephones -- Surveys, Research bias, User survey/user study, Wireless telephone, Wireless voice/data device, Political science, Sociology and social work
Published
2007

35. The Time of Punishment

Author

Julian V. Roberts

Abstract

Increasingly, courts around the world are being required to sentence offenders for crimes committed years or even decades earlier. Prevailing conceptions of harm and culpability change over time. Policymakers concerned with punishment and sentencing should be sensitive to changes in the absolute and relative seriousness of crimes as well as the absolute and relative severity of punishments. Ordinal rankings of offenses have evolved over the past 50 years, as has our understanding of the impact of various sanctions. Issues raised by sentencing for crimes committed much earlier illustrate the need for a time-sensitive approach. Should defendants be sentenced according to standards prevailing at the time of the offense or according to current standards? In a just system, offenders would be judged by the standards prevailing when they took the decision to offend. A time-sensitive approach would apply the sentencing standards of the earlier time yet also consider time-relevant mitigation and aggravation in the subsequent period. The offender’s conduct and the victim’s suffering during the period are both relevant factors. Passage of time often changes our evaluation of the offense and the offender. When this occurs, the nature of the sentence should change. Likewise for long-serving prisoners, whose sentences should be reviewed after years have passed, in case they are no longer deemed proportionate.

Published
2019

36. Sentencing and Artificial Intelligence

Author

Jesper Ryberg, Julian V. Roberts, Jesper Ryberg, and Julian V. Roberts

Subjects
Artificial intelligence--Moral and ethical aspects, Algorithms, Artificial intelligence, Sentences (Criminal procedure), Sentences (Criminal procedure)--Data processing, Criminal justice, Administration of--Data processing, Decision making--Moral and ethical aspects, Justice, Administration of--Technological innovations
Abstract

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.

Published
2022

Catalog

Books, media, physical & digital resources
See catalog results