Sentencing and Artificial Intelligence: Setting the Stage / Jesper Ryberg and Julian V. Roberts -- Sentencing and Algorithmic Transparency / Jesper Ryberg -- Transparency at Sentencing: Are Human Judges More Transparent Than Algorithms? / Vincent Chiao -- Sentencing and the Conflict between Algorithmic Accuracy and Transparency / Jesper Ryberg and Thomas S. Petersen -- Algorithm-Based Sentencing and Discrimination / Kasper Lippert-Rasmussen -- Learning to Discriminate: The Perfect Proxy Problem in Artificially Intelligent Sentencing / Benjamin Davies and Thomas Douglas -- Enhancing the Integrity of the Sentencing Process through the Use of Artificial Intelligence / Mirko Bagaric and Dan Hunter -- The Compassionate Computer: Algorithms, Sentencing, and Mercy / Netanel Dagan and Shmuel Baron -- Algorithmic Sentencing: Drawing Lesson from Human Factors Research / John Zerilli -- Plea Bargaining, Principled Sentencing, and Artificial Intelligence / Richard L. Lippke -- Reconciling Artificial and Human Intelligence: Supplementing Not Supplanting the Sentencing Judge / Mathis Schwartze and Julian V. Roberts -- Artificial Intelligence and Sentencing: Humans against Machines / Sigrid van Wingerden and Mojca M. Plesničar -- Iudicium ex Machinae: The Ethical Challenges of ADM at Sentencing / Frej Klem Thomsen.
Summary:
"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." --publisher
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.