Performance of recidivism risk assessment instruments in US correctional settings

SL Desmarais, KL Johnson… - Handbook of recidivism …, 2018 - Wiley Online Library
With the population of adults under correctional supervision in the United States at an all‐
time high, psychologists and other professionals working in US correctional agencies face …

Predictive validity of pretrial risk assessments: A systematic review of the literature

SL Desmarais, SA Zottola… - Criminal Justice …, 2021 - journals.sagepub.com
Bail reform is sweeping the nation and many jurisdictions are looking to pretrial risk
assessment as one potential strategy to support these efforts. This article summarizes the …

[图书][B] The alignment problem: How can machines learn human values?

B Christian - 2021 - books.google.com
'Vital reading. This is the book on artificial intelligence we need right now.'Mike Krieger,
cofounder of Instagram Artificial intelligence is rapidly dominating every aspect of our …

All models are wrong, but many are useful: Learning a variable's importance by studying an entire class of prediction models simultaneously

A Fisher, C Rudin, F Dominici - Journal of Machine Learning Research, 2019 - jmlr.org
Variable importance (VI) tools describe how much covariates contribute to a prediction
model's accuracy. However, important variables for one well-performing model (for example …

[图书][B] Radical uncertainty: Decision-making for an unknowable future

M King, J Kay - 2020 - books.google.com
'A brilliant new book'Daily Telegraph'Well written... and often entertaining'The Times' A
sparkling analysis' Prospect When uncertainty is all around us, and the facts are not clear …

Algorithmic decision making and the cost of fairness

S Corbett-Davies, E Pierson, A Feller, S Goel… - Proceedings of the 23rd …, 2017 - dl.acm.org
Algorithms are now regularly used to decide whether defendants awaiting trial are too
dangerous to be released back into the community. In some cases, black defendants are …

Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

A Chouldechova - Big data, 2017 - liebertpub.com
Recidivism prediction instruments (RPIs) provide decision-makers with an assessment of the
likelihood that a criminal defendant will reoffend at a future point in time. Although such …

Interpretable algorithmic forensics

BL Garrett, C Rudin - … of the National Academy of Sciences, 2023 - National Acad Sciences
One of the most troubling trends in criminal investigations is the growing use of “black box”
technology, in which law enforcement rely on artificial intelligence (AI) models or algorithms …

Technologies of crime prediction: The reception of algorithms in policing and criminal courts

S Brayne, A Christin - Social problems, 2021 - academic.oup.com
The number of predictive technologies used in the US criminal justice system is on the rise.
Yet there is little research to date on the reception of algorithms in criminal justice …

Risk, race, and recidivism: Predictive bias and disparate impact

JL Skeem, CT Lowenkamp - Criminology, 2016 - Wiley Online Library
One way to unwind mass incarceration without compromising public safety is to use risk
assessment instruments in sentencing and corrections. Although these instruments figure …