소장자료
| LDR | 05076cam a2200000 a | ||
| 001 | 0100586497▲ | ||
| 005 | 20230420155710▲ | ||
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| 008 | 210901t20222022nyua b 001 0 eng c▲ | ||
| 020 | ▼a9780197539538▼q(hbk.)▲ | ||
| 020 | ▼a019753953X▼q(hbk.)▲ | ||
| 035 | ▼a(KERIS)REF000020170615▲ | ||
| 040 | ▼aUKMGB▼beng▼cUKMGB▼dOCLCF▼dOCLCO▼dBDX▼dNAM▼dOCLCO▼dYDX▼dOCLCO▼dTXQ▼dVGL▼dUAB▼dCLU▼dDLC▼d221016▲ | ||
| 042 | ▼alccopycat▲ | ||
| 050 | 0 | 0 | ▼aK5121▼b.S464 2022▲ |
| 082 | 0 | 4 | ▼a345/.0772▼223▲ |
| 090 | ▼a345.0772▼bS478r▲ | ||
| 245 | 0 | 0 | ▼aSentencing and artificial intelligence /▼cedited by Jesper Ryberg and Julian V. Roberts.▲ |
| 260 | ▼aNew York, NY :▼bOxford University Press,▼c[2022].▲ | ||
| 300 | ▼avi, 280 p. :▼bill. ;▼c25 cm▲ | ||
| 490 | 0 | ▼aStudies in penal theory and philosophy▲ | |
| 504 | ▼aIncludes bibliographical references and index.▲ | ||
| 505 | 0 | 0 | ▼tSentencing and artificial intelligence : setting the stage /▼rJesper Ryberg and Julian V. Roberts --▼tSentencing and algorithmic transparency /▼rJesper Ryberg --▼tTransparency at sentencing : are human judges more transparent than algorithms? /▼rVincent Chiao --▼tSentencing and the conflict between algorithmic accuracy and transparency /▼rJesper Ryberg and Thomas S. Petersen --▼tAlgorithm-based sentencing and discrimination /▼rKasper Lippert-Rasmussen --▼tLearning to discriminate : the perfect proxy problem in artificially intelligent sentencing /▼rBenjamin Davies and Thomas Douglas --▼tEnhancing the integrity of the sentencing process through the use of artificial intelligence /▼rMirko Bagaric and Dan Hunter --▼tThe compassionate computer : algorithms, sentencing, and mercy /▼rNetanel Dagan and Shmuel Baron --▼tAlgorithmic sentencing : drawing lessons from human factors research /▼rJohn Zerilli --▼tPlea bargaining, principled sentencing, and artificial intelligence /▼rRichard L. Lippke --▼tReconciling artificial and human intelligence : supplementing not supplanting the sentencing judge /▼rMathis Schwarze and Julian V. Roberts --▼tArtificial intelligence and sentencing : humans against machines /▼rSigrid van Wingerden and Mojca M. Plesničar --▼tIudicium ex machinae : the ethical challenges of ADM at sentencing /▼rFrej Klem Thomsen.▲ |
| 520 | ▼a"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 a valuable insight on the future of sentencing" --▼cProvided by publisher.▲ | ||
| 650 | 0 | ▼aSentences (Criminal procedure)▲ | |
| 650 | 0 | ▼aSentences (Criminal procedure)▼xData processing.▲ | |
| 650 | 0 | ▼aArtificial intelligence.▲ | |
| 650 | 0 | ▼aArtificial intelligence▼xMoral and ethical aspects.▲ | |
| 650 | 0 | ▼aAlgorithms.▲ | |
| 650 | 0 | ▼aDecision making▼xMoral and ethical aspects.▲ | |
| 650 | 0 | ▼aJustice, Administration of▼xTechnological innovations.▲ | |
| 650 | 0 | ▼aCriminal justice, Administration of▼xData processing.▲ | |
| 700 | 1 | ▼aRyberg, Jesper.▲ | |
| 700 | 1 | ▼aRoberts, Julian V.▲ |
Sentencing and artificial intelligence
자료유형
국외단행본
서명/책임사항
Sentencing and artificial intelligence / edited by Jesper Ryberg and Julian V. Roberts.
발행사항
New York, NY : Oxford University Press , [2022].
형태사항
vi, 280 p. : ill. ; 25 cm
서지주기
Includes bibliographical references and index.
내용주기
Sentencing and artificial intelligence : setting the stage / Jesper Ryberg and Julian V. Roberts -- Sentencing and algorithmic transparency / Jesper Ryberg -- Transparency at sentencing : are human judges more transparent than algorithms? / Vincent Chiao -- Sentencing and the conflict between algorithmic accuracy and transparency / Jesper Ryberg and Thomas S. Petersen -- Algorithm-based sentencing and discrimination / Kasper Lippert-Rasmussen -- Learning to discriminate : the perfect proxy problem in artificially intelligent sentencing / Benjamin Davies and Thomas Douglas -- Enhancing the integrity of the sentencing process through the use of artificial intelligence / Mirko Bagaric and Dan Hunter -- The compassionate computer : algorithms, sentencing, and mercy / Netanel Dagan and Shmuel Baron -- Algorithmic sentencing : drawing lessons from human factors research / John Zerilli -- Plea bargaining, principled sentencing, and artificial intelligence / Richard L. Lippke -- Reconciling artificial and human intelligence : supplementing not supplanting the sentencing judge / Mathis Schwarze and Julian V. Roberts -- Artificial intelligence and sentencing : humans against machines / Sigrid van Wingerden and Mojca M. Plesničar -- Iudicium ex machinae : the ethical challenges of ADM at sentencing / Frej Klem Thomsen.
요약주기
"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 a valuable insight on the future of sentencing" -- Provided by publisher.
주제
Sentences (Criminal procedure)
Sentences (Criminal procedure), Data processing.
Artificial intelligence.
Artificial intelligence, Moral and ethical aspects.
Algorithms.
Decision making, Moral and ethical aspects.
Justice, Administration of, Technological innovations.
Criminal justice, Administration of, Data processing.
Sentences (Criminal procedure), Data processing.
Artificial intelligence.
Artificial intelligence, Moral and ethical aspects.
Algorithms.
Decision making, Moral and ethical aspects.
Justice, Administration of, Technological innovations.
Criminal justice, Administration of, Data processing.
ISBN
9780197539538 019753953X
청구기호
345.0772 S478r
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