Home >
Top Picks for Lawyers >
AI Law >
Sentencing and Artificial Intelligence

Sentencing and Artificial Intelligence

Author: Jesper Ryberg; Julian V. Roberts
Publisher: Oxford University Press
ISBN: 9780197539538
Published In: November 2022
Format: Hardback
Jurisdiction: ? Disclaimer:
Countri(es) stated herein are used as reference only

List Price: HKD 1,274.00

HKD 1,235.78 Save HKD 38.22 (3%)

Download Order Form

Add to Wishlist
| Add to Compare

Description
Contents

Details

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.

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