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Sentencing and Artificial Intelligence

Sentencing and Artificial Intelligence

  • 作者:
  • 出版商: Oxford University Press
  • ISBN: 9780197539538
  • 出版时间 November 2022
  • 规格: Hardback
  • 适应领域:  ? 免责申明:
    Countri(es) stated herein are used as reference only

List Price: ¥1,092.75

¥1,059.97 Save ¥32.78 (3%)

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  • 描述 
  • 大纲 
  • 详细

    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.

  • 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 & Mojca Plesnicar
    Chapter Thirteen: Iudicium ex Machinae - The Ethical Challenges of Automated Decision-Making at Sentencing
    Frej Klem Thomsen
    Index

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