My Account Log in

1 option

Just algorithms : using science to reduce incarceration and inform a jurisprudence of risk / Christopher Slobogin, Vanderbilt University Law School.

Van Pelt Library KF9685 .S565 2021
Loading location information...

Available This item is available for access.

Log in to request item
Format:
Book
Author/Creator:
Slobogin, Christopher, 1951- author.
Language:
English
Subjects (All):
Sentences (Criminal procedure)--United States--Decision making.
Sentences (Criminal procedure).
Criminal statistics--United States.
Criminal statistics.
Expert systems (Computer science).
Decision making.
United States.
Expert systems (Computer science)--United States.
Sentences (Criminal procedure)--Decision making.
Physical Description:
xiii, 167 pages ; 24 cm
Place of Publication:
Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2021.
Contents:
Machine generated contents note: 1. Rationale: What Risk Algorithms Can Do for the Criminal Justice System
1.1. The Plague of Mass Incarceration
1.2. Why? Crime, Culture, and Codes
1.3. The Potential Role of Risk Algorithms
2. Fit: Why and When Data about Groups Are Relevant to Individuals
2.1. Risk Assessment Instruments
2.2. G2i
-Using Information about Groups to Resolve Individual Cases
2.3. The Probability Criterion
2.4. The Outcome Criterion
2.5. The Duration Criterion
2.6. The Intervention Criterion
2.7. Conclusion: Implementing the Fit Criteria
2.7.1. Prison Release/Diversion
2.7.2. Pretrial Detention Based on Risk of Offending
2.7.3. Pretrial Detention Based on Flight Risk
2.7.4. Prison Population Reduction
3. Validity: Figuring Out When Risk Algorithms Are Sufficiently Accurate
3.1. Incremental Validity and Helpfulness
3.2. Calibration Validity
3.3. Discriminant Validity
3.4. External Validity (Local and Group Validation)
3.5. Implementation Validity: Inter-Rater Reliability and "Adjustments" of Scores
3.6. Current Validity/Re-Validation
3.7. The Meaning of Predictive Validity
3.8. Conclusion: Assuring Accuracy
4. Fairness: Avoiding Unjust Algorithms
4.1. Egalitarian Injustice
4.1.1. Race
4.1.2. Sex
4.1.3. Other Traits
4.2. Retributive Injustice
4.3. Procedural Injustice
4.3.1. Process
4.3.2. Transparency
4.3.3. Voice
4.4. Conclusion: One Court's Struggle with Assuring Fairness
5. Structure: Limiting Retributivism and Individual Prevention
5.1. The Problems with Desert
5.1.1. The Accuracy of Desert
5.1.2. Desert and Disparity
5.1.3. Desert and Blameworthiness
5.2. Preventive Justice and Limiting Retributivism
5.2.1. The Determination of Sentence Ranges
5.2.2. Governing Principles of Preventive Justice
5.3. Parole as a Constitutional Right
5.4. Preventive Justice and Plea Bargaining
5.5. Conclusion: Preventive Justice in Practice
6. Moving Forward: The Need for Experimentation.
Notes:
Includes bibliographical references and index.
Other Format:
Online version: Slobogin, Christopher, 1951- Just algorithms
ISBN:
9781108833974
1108833977
9781108984348
1108984347
OCLC:
1237344654

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account