Just Algorithms
Using Science to Reduce Incarceration and Inform a Jurisprudence of Risk
Bibliographic Data
| ID | 19945271 |
|---|---|
| Authors | Christopher Slobogin (0000-0002-3077-1549, Vanderbilt University, corresponding author) |
| Year | 2021 |
| Publication date | 2021-06-30 |
| Open Access | Yes |
| Type | BOOK |
| Venue | Just Algorithms (SOURCE_BOOK) |
| Publisher | Cambridge University Press (PUBLISHER • US) |
| DOI | 10.1017/9781108988025 |
| OpenAlex | W4250710359 |
| Open Library | OL35572460M |
| ISBN | 9781108988025 |
| Language | EN |
| Citations received | 9 |
Statistically-derived algorithms, adopted by many jurisdictions in an effort to identify the risk of reoffending posed by criminal defendants, have been lambasted as racist, de-humanizing, and antithetical to the foundational tenets of criminal justice. Just Algorithms argues that these attacks are misguided and that, properly regulated, risk assessment tools can be a crucial means of safely and humanely dismantling our massive jail and prison complex. The book explains how risk algorithms work, the types of legal questions they should answer, and the criteria for judging whether they do so in a way that minimizes bias and respects human dignity. It also shows how risk assessment instruments can provide leverage for curtailing draconian prison sentences and the plea-bargaining system that produces them. The ultimate goal of Christopher Slobogin's insightful analysis is to develop the principles that should govern, in both the pretrial and sentencing settings, the criminal justice system's consideration of risk
Algorithm · Criminal justice · Criminal law · Criminal procedure · Criminology · Dignity · Law and economics · Leverage (statistics) · Plea · Political science · Prison · Sociology · Artificial Intelligence · Computer Science · Criminal Justice and Corrections Analysis · Ethics and Social Impacts of AI · Law · Psychology
How Much Risk, and Risk of What? A Closer Look at Pretrial Rearrest and Risk Assessment
Algorithmic Sentencing and Human Dignity
An Algorithmic Assessment of Parole Decisions
Applying the Rules of Evidence to Expert Testimony About Risk
A pretrial release policy based on risk assessment would reduce unnecessary incarceration, increase racial fairness, and save money
The submerged prison state
Algorithms Don’t Have A Future
Informational richness and its impact on algorithmic fairness
Smart criminal justice
| Unique citing works | 9 |
|---|---|
| Citations per year | 3 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 9 |