Machine Learning Risk Assessments in Criminal Justice Settings

• Main Author: Berk, Richard (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Artificial intelligence.; Mathematical statistics.; Criminology.; Research.; Data mining.; Artificial Intelligence.; Probability and Statistics in Computer Science.; Quantitative Criminology.; Data Mining and Knowledge Discovery.

This book puts in one place and in accessible form Richard Berk's most recent work on forecasts of re-offending by individuals already in criminal justice custody. Using machine learning statistical procedures trained on very large datasets, an explicit introduction of the relative costs of for...

Table of Contents:

• 1 Getting Started
• 2 Some Important Background Material
• 3 A Conceptual Introduction Classification and Forecasting
• 4 A More Formal Treatment of Classification and Forecasting
• 5 Tree-Based Forecasting Methods
• 6 Transparency, Accuracy and Fairness
• 7 Real Applications
• 8 Implementation
• 9 Some Concluding Observations About Actuarial Justice and More.