Artificial intelligence, big data and automated decision-making in criminal justice (RIDP, 2021)

Preface

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Preface: Capabilities and Limitations of AI in Criminal Justice
Gert Vermeulen, Nina Peršak, Nicola Recchia

Setting the scene

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Algorithmic Decisions within the Criminal Justice Ecosystem and their Problem Matrix,
Krisztina Karsai

AI and Big Data in Predictive Detection and Policing

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Applying the Presumption of Innocence to Policing with AI
Kelly Blount
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Click, Collect and Calculate: The Growing Importance of Big Data in Predicting Future Criminal Behaviour
Julia Heilemann
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Augmented Reality in Law Enforcement from an EU Data Protection Law Perspective: The DARLENE Project as a Case Study
Katherine Quezada-Tavárez
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On the Potentialities and Limitations of Autonomous Systems in Money Laundering Control
Leonardo Simões Agapito, Matheus de Alencar e Miranda, Túlio Felippe Xavier Januário

Crimes Involving AI: Liability Issues and Jurisdictional Challenges

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AI Crimes and Misdemeanors: Debating the Boundaries of Criminal Liability and Imputation
Anna Moraiti
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AI and Criminal Law: The Myth of 'Control' in a Data-Driven Society
Beatrice Panattoni
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The Impact of AI on Corporate Criminal Liability: Algorithmic Misconduct in the Prism of Derivative and Holistic Theories
Federico Mazzacuva
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The Challenges of AI for Transnational Criminal Law: Jurisdiction and Cooperation
Miguel João Costa, António Manuel Abrantes

AI-Assisted and Automated Actuarial Justice or Adjudication of Criminal Cases

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Lombroso 2.0: On AI and Predictions of Dangerousness in Criminal Justice
Alice Giannini
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The Use of AI Tools in Criminal Courts: Justice Done and Seen to Be Done?
Vanessa Franssen, Alyson Berrendorf
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Automated Justice and Its Limits: Irreplaceable Human(e) Dimensions of Criminal Justice
Nina Peršak