Sentencing and Artificial Intelligence
Book Details
Format
Hardback or Cased Book
Book Series
Studies in Penal Theory and Philosophy
ISBN-10
019753953X
ISBN-13
9780197539538
Publisher
Oxford University Press Inc
Imprint
Oxford University Press Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Nov 14th, 2022
Print length
296 Pages
Weight
566 grams
Dimensions
16.20 x 24.40 x 2.60 cms
Product Classification:
Ethics & moral philosophyPenology & punishmentSentencing & punishmentArtificial intelligence
Ksh 19,050.00
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This book is the first collective work devoted exclusively to the ethical and penal theoretical considerations of the use of artificial intelligence at sentencing. Jesper Ryberg and Julian V. Roberts bring together leading experts in the field to investigate 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 first collective work devoted exclusively to the ethical and penal theoretical considerations of the use of artificial intelligence at sentencingIs 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.
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