ENGLISH

Sentencing and Artificial Intelligence

Book information

Publisher
Oxford University Press
Year
2022
ISBN
019753953X, 9780197539538
Language
english
Format
PDF
Filesize
12 MB (12522665 bytes)
Series
Studies in Penal Theory and Philosophy
Pages
296\297
Time added
2023-04-09 20:14:51

Description

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. Cover Sentencing and Artificial Intelligence Copyright Contents Acknowledgments Contributors 1. Sentencing and Artificial Intelligence: Setting the Stage 2. Sentencing and Algorithmic Transparency 3. Transparency at Sentencing: Are Human Judges More Transparent Than Algorithms? 4. Sentencing and the Conflict between Algorithmic Accuracy and Transparency 5. Algorithm-​Based Sentencing and Discrimination 6. Learning to Discriminate: The Perfect Proxy Problem in Artificially Intelligent Sentencing 7. Enhancing the Integrity of the Sentencing Process through the Use of Artificial Intelligence 8. The Compassionate Computer: Algorithms, Sentencing, and Mercy 9. Algorithmic Sentencing: Drawing Lessons from Human Factors Research 10. Plea Bargaining, Principled Sentencing, and Artificial Intelligence 11. Reconciling Artificial and Human Intelligence: Supplementing Not Supplanting the Sentencing Judge 12. Artificial Intelligence and Sentencing: Humans against Machines 13. Iudicium ex Machinae: The Ethical Challenges of ADM at Sentencing Index

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