Sentencing and Artificial Intelligence
Published on 14. November 2022
Book
Hardback
296 pages
978-0-19-753953-8 (ISBN)
Description
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.
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.
Reviews / Votes
This book includes several interesting studies and cases from the US on the use of AI in sentencing ... How far we will go to embrace AI in sentencing remains to be seen. This volume highlights the importance of critical assessment before further adoption. * Kitan Ososami, The Gazette * In Sentencing and Artificial Intelligence, they have curated a powerful and compelling collection of essays on the application of a new technology to an old problem [...] Ryberg and Roberts succeed admirably * Aziz Z. Huq, Frank and Bernice J. Greenberg Professor of Law, The University of Chicago, Criminal Justice Ethics * [A] brilliant volume [...] timely, readable and authoritative contributions on a contemporary issue spanning ethics and justice * R. D. McCrie, John Jay College of Criminal Justice, CUNY *More details
Series
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 242 mm
Width: 164 mm
Thickness: 29 mm
Weight
558 gr
ISBN-13
978-0-19-753953-8 (9780197539538)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Jesper Ryberg | Julian V. Roberts
Sentencing and Artificial Intelligence
E-Book
01/2022
OUP eBook
€56.99
Available for download
Jesper Ryberg | Julian V. Roberts
Sentencing and Artificial Intelligence
E-Book
01/2022
OUP eBook
€56.99
Available for download
Persons
Jesper Ryberg is Professor of Ethics and Philosophy of Law at Roskilde University and Head of Research Group for Criminal Justice Ethics. He is the author of, among others, Neurointerventions, Crime, and Punishment (OUP 2020), Sentencing Multiple Crimes (ed. with Roberts and de Keijser; OUP 2018) and Popular Punishment: On the Normative Significance of Public Opinion (ed. with J. V. Roberts; OUP 2014.)
Julian V. Roberts is Professor of Criminology in the Faculty of Law, University of Oxford and was a member of the Sentencing Council of England and Wales and an advisor to the American Law Institute Model Penal Code Sentencing project. His recent books include Paying for the Past (OUP 2019), Criminal Justice: A Very Short Introduction (OUP 2015), and Popular Punishment (OUP 2014).
Julian V. Roberts is Professor of Criminology in the Faculty of Law, University of Oxford and was a member of the Sentencing Council of England and Wales and an advisor to the American Law Institute Model Penal Code Sentencing project. His recent books include Paying for the Past (OUP 2019), Criminal Justice: A Very Short Introduction (OUP 2015), and Popular Punishment (OUP 2014).
Content
Acknowledgements
List of Contributors
Chapter One: Sentencing and Artificial Intelligence: Setting the Stage
Jesper Ryberg and Julian V. Roberts
Chapter Two: Sentencing and Algorithmic Transparency
Jesper Ryberg
Chapter Three: Sentencing and the right to reasons
Vincent Chiao
Chapter Four: Sentencing and the Conflict Between Algorithmic Accuracy and Transparency
Jesper Ryberg and Thomas S. Petersen
Chapter Five: Algorithm-based sentencing and discrimination
Kasper Lippert-Rasmussen
Chapter Six: Learning to discriminate: The Perfect Proxy Problem in Artificially Intelligent Crime Prediction
Benjamin Davies and Thomas Douglas
Chapter Seven: Enhancing the Integrity of the Sentencing Process Through the Use of Artificial Intelligence
Mirko Bagaric and Dan Hunter
Chapter Eight: The Compassionate Computer: Algorithms, Sentencing, and Mercy
Netanel Dagan and Shmuel Baron
Chapter Nine: Algorithmic Sentencing: Drawing Lessons from Human Factors Research
John Zerilli
Chapter Ten: Plea Bargaining, Principled Sentencing, and Artificial Intelligence
Richard Lippke
Chapter Eleven: Reconciling Artificial and Human Intelligence: Supplementing and Not Supplanting the Sentencing Judge
Mathis Schwarze and Julian V. Roberts
Chapter Twelve: Artificial Intelligence and Sentencing: Humans against the Machine
Sigrid van Wingerden & Mojca Plesnicar
Chapter Thirteen: Iudicium ex Machinae - The Ethical Challenges of Automated Decision-Making at Sentencing
Frej Klem Thomsen
Index
List of Contributors
Chapter One: Sentencing and Artificial Intelligence: Setting the Stage
Jesper Ryberg and Julian V. Roberts
Chapter Two: Sentencing and Algorithmic Transparency
Jesper Ryberg
Chapter Three: Sentencing and the right to reasons
Vincent Chiao
Chapter Four: Sentencing and the Conflict Between Algorithmic Accuracy and Transparency
Jesper Ryberg and Thomas S. Petersen
Chapter Five: Algorithm-based sentencing and discrimination
Kasper Lippert-Rasmussen
Chapter Six: Learning to discriminate: The Perfect Proxy Problem in Artificially Intelligent Crime Prediction
Benjamin Davies and Thomas Douglas
Chapter Seven: Enhancing the Integrity of the Sentencing Process Through the Use of Artificial Intelligence
Mirko Bagaric and Dan Hunter
Chapter Eight: The Compassionate Computer: Algorithms, Sentencing, and Mercy
Netanel Dagan and Shmuel Baron
Chapter Nine: Algorithmic Sentencing: Drawing Lessons from Human Factors Research
John Zerilli
Chapter Ten: Plea Bargaining, Principled Sentencing, and Artificial Intelligence
Richard Lippke
Chapter Eleven: Reconciling Artificial and Human Intelligence: Supplementing and Not Supplanting the Sentencing Judge
Mathis Schwarze and Julian V. Roberts
Chapter Twelve: Artificial Intelligence and Sentencing: Humans against the Machine
Sigrid van Wingerden & Mojca Plesnicar
Chapter Thirteen: Iudicium ex Machinae - The Ethical Challenges of Automated Decision-Making at Sentencing
Frej Klem Thomsen
Index