Artificial Intelligence, Computational Modelling and Criminal Proceedings: A Framework for A European Legal Discussion (Legal Studies in International, European and Comparative Criminal Law, Band 4) - Softcover

Buch 4 von 5: Legal Studies in International, European and Comparative Criminal Law

Quattrocolo, Serena

 
9783030524722: Artificial Intelligence, Computational Modelling and Criminal Proceedings: A Framework for A European Legal Discussion (Legal Studies in International, European and Comparative Criminal Law, Band 4)
Softcover
ISBN 10: 3030524728 ISBN 13: 9783030524722
Verlag: Springer, 2021

Inhaltsangabe

This book discusses issues relating to the application of AI and computational modelling in criminal proceedings from a European perspective. Part one provides a definition of the topics. Rather than focusing on policing or prevention of crime – largely tackled by recent literature – it explores ways in which AI can affect the investigation and adjudication of crime. There are two main areas of application: the first is evidence gathering, which is addressed in Part two. This section examines how traditional evidentiary law is affected by both new ways of investigation – based on automated processes (often using machine learning) – and new kinds of evidence, automatically generated by AI instruments. Drawing on the comprehensive case law of the European Court of Human Rights, it also presents reflections on the reliability and, ultimately, the admissibility of such evidence. Part three investigates the second application area: judicial decision-making, providing an unbiased review of the meaning, benefits, and possible long-term effects of ‘predictive justice’ in the criminal field. It highlights the prediction of both violent behaviour, or recidivism, and future court decisions, based on precedents. Touching on the foundations of common law and civil law traditions, the book offers insights into the usefulness of ‘prediction’ in criminal proceedings.

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Über die Autorin bzw. den Autor

Serena Quattrocolo is ​Full Professor of Italian and European Criminal Procedure at the University of Eastern Piedmont, Dean of the Law School, former academic co-director of the Center for Transnational Legal Studies, London. Major research fields: European and comparative criminal procedure, Italian criminal procedure. In recent years, the focus turned to applications of AI to criminal justice and automatedly generated evidence.

Von der hinteren Coverseite

This book discusses issues relating to the application of AI and computational modelling in criminal proceedings from a European perspective. Part one provides a definition of the topics. Rather than focusing on policing or prevention of crime – largely tackled by recent literature – it explores ways in which AI can affect the investigation and adjudication of crime. There are two main areas of application: the first is evidence gathering, which is addressed in Part two. This section examines how traditional evidentiary law is affected by both new ways of investigation – based on automated processes (often using machine learning) – and new kinds of evidence, automatically generated by AI instruments. Drawing on the comprehensive case law of the European Court of Human Rights, it also presents reflections on the reliability and, ultimately, the admissibility of such evidence. Part three investigates the second application area: judicial decision-making, providing an unbiased review of the meaning, benefits, and possible long-term effects of ‘predictive justice’ in the criminal field. It highlights the prediction of both violent behaviour, or recidivism, and future court decisions, based on precedents. Touching on the foundations of common law and civil law traditions, the book offers insights into the usefulness of ‘prediction’ in criminal proceedings.

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Verlag
Springer
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
3030524728
ISBN 13 
9783030524722
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
248
Kontakt zum Hersteller
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Darmstadt
64293
Deutschland

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Vorgestellte Ausgabe

ISBN 10:  3030524698 ISBN 13:  9783030524692
Verlag: Springer, 2020
Hardcover