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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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).
Inhaltsangabe
* 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 and Mojca Plesnicar * Chapter Thirteen: Iudicium ex Machinae - The Ethical Challenges of Automated Decision-Making at Sentencing * Frej Klem Thomsen * Index
* 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 and Mojca Plesnicar * Chapter Thirteen: Iudicium ex Machinae - The Ethical Challenges of Automated Decision-Making at Sentencing * Frej Klem Thomsen * Index
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