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.
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.
Innehållsförteckning
Part I: Introducing the Problem.- 1. Approaching the Unknown: Some Preliminary Words.- 2. A Theoretical Framework for the Discussion on AI and Criminal Law.- Part II Direct and Indirect Impact of Widespread Computational Modelling on Evidence Gathering.- 3. Hacking by Law-Enforcement: Investigating with the Help of Computational Models and AI Methods.- 4. Equality of Arms and Automatedly Generated Evidence.- Part III: Challenges of Computational Methods to the Judicial Decision-Making Process: Deciding v. Predicting.- 5. Predictability and Criminal Justice.- 6. Predictability of Violent Behaviour and Recidivism.- 7. Predictability and the Criminal Justice Decision-Making Process.- 8. The Gist of the Inquiry.