Assessing Risk Assessment in Action

Cited by (192)

Items 101–192 of 192

1. Human Discernment of Algorithmic Errors: A Case Study in Child Welfare
   Riccardo Fogliato, Maria De‐Arteaga, Alexandra Chouldechova · 2022 · SSRN Electronic Journal
2. No Money Bail, No Problems? Trade-offs in a Pretrial Automatic Release Program
   Alex Albright · 2022
3. AI in terrorism sentencing: evaluating predictive accuracy and ethical implications
   Shai Farber · 2024 · Criminal Justice Studies
4. Justicia algorítmica: un enfoque sociotécnico
   Andrea Bravo Bolado · 2023 · Estudios Penales y Criminológicos
5. Smart Justice? Making Sense of the Rise of Algorithm-Based Pre-trial Risk Assessment in Criminal Justice Through ‘Legal Models’
   Georg Wenzelburger, Karen Yeung, Kathrin Hartmann · 2025 · Digital Society
6. Algorithmic and Economic Perspectives on Fairness
   David C. Parkes, Rakesh Vohra, participants, other workshop · 2019 · arXiv (Cornell University)
7. Prediction and Punishment: Critical Report on Carceral AI
   Pruss, Dasha, Pullen-Blasnik, Hannah, Stevens, Nikki, Rahman, Shakeer, Belitz, Clara, Stapleton, Logan, Dharmaraj, Mallika G., Aizeki, Mizue, Molnar, Petra, Pinch, Annika et al. · 2025
8. Automatisierte Erkennung von Stimme, Sprache und Gesicht
   M⁠u⁠r⁠a⁠t Karaboga, Nula Frei, Frank Ebbers, Sophia Rovelli, Michaël Friedewald, Greta Runge · 2022 · vdf Hochschulverlag AG an der ETH Zürich eBooks
9. The Effects of Race and Gender When Predicting Intimate Partner Violence Recidivism in Police Reports Using the Ontario Domestic Assault Risk Assessment
   N. Zoe Hilton, Dana L. Radatz · 2023 · Crime & Delinquency
10. Showing high-achieving college applicants past admissions outcomes increases undermatching
    Sabina Tomkins, Joshua Grossman, Lindsay C. Page, Sharad Goel · 2023 · Proceedings of the National Academy of Sciences
11. Overriding (in)justice: pretrial risk assessment administration on the frontlines
    Sarah Riley · 2024 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
12. Introduction to the Special Issue on implementing Post‐Conviction Risk Assessment
    Christopher Slobogin · 2020 · Behavioral Sciences & the Law
13. The Danger of Reverse-Engineering of Automated Judicial Decision-Making Systems
    Masha Medvedeva, Martijn B. Wieling, Michel Vols · 2020 · arXiv (Cornell University)
14. Unshackling Plea Bargaining from Racial Bias
    Elayne E. Greenberg · 2020 · SSRN Electronic Journal
15. Human-Algorithm Interactions: Evidence from Zillow.com
    Runshan Fu, Ginger Zhe Jin, Meng Liu · 2022 · SSRN Electronic Journal
16. Building Nondiscriminatory Algorithms in Selected Data
    David Scott Arnold, Will Dobbie, Peter Hull · 2025 · American Economic Review Insights
17. Pretrial Risk Assessment on the Ground: Algorithms, Judgments, Meaning, and Policy
    Cristopher Moore, Elise Ferguson, Paul Guerin · 2023
18. Decision-Making Process of Home and Social Care Professionals Using Telemonitoring of Activities of Daily Living for Risk Assessment: Embedded Mixed Methods Multiple-Case Study
    Renée-Pier Filiou, Mélanie Couture, Maxime Lussier, Aline Aboujaoudé, Guy Paré, Sylvain Giroux, Hubert Kenfack Ngankam, Patricia da Cunha Belchior, Carolina L. Bottari, Kévin Bouchard et al. · 2025 · Journal of Medical Internet Research
19. Algorithmic Sentencing
    John Zerilli · 2022 · Oxford University Press eBooks
20. The Societal Impacts of Algorithmic Decision-Making
    Manish Raghavan · 2023 · ACM eBooks
21. Shaping the Terrain of AI Competition
    Tim Hwang · 2020
22. Fragile Algorithms and Fallible Decision-Makers: Lessons from the Justice System
    Jens Ludwig, Sendhil Mullainathan · 2021 · National Bureau of Economic Research
23. Models of Bail Reform
    Brandon L. Garrett · 2021 · SSRN Electronic Journal
24. Psychological predictors of future dangerous behavior among probationers: evidence from judicial bureaus in four provinces in China
    Ling Tang, Tun Xu, Junming Ma · 2025 · Frontiers in Psychology
25. Advancing pretrial assessments: Development of the Personal Recognizance Interview & Needs Screen (PRINS)
    Zachary K. Hamilton, John Ursino, Alex C. Kigerl · 2024 · Journal of Criminal Justice
26. The liberal dream of smart detention? Algorithms and the politics of pretrial detention in the US states
    Georg Wenzelburger, Pascal D. König · 2022 · Law & Policy
27. Evidence-based sentencing and scientific evidence
    Lucía Martínez Garay · 2023 · Frontiers in Psychology
28. How Long is Long Enough: Using Abbreviated Criminal Histories for Pretrial Assessment Instruments?
    Matthew T. DeMichele, Christopher Scott Inkpen, Ian A Silver, Jason W. Walker · 2024 · Justice Quarterly
29. Beyond Cash Bail: Public Health, Risk Assessment, and California Senate Bill 10
    Zoe Guttman, Yuki Hebner, Kanon Mori, Jonathan Balk · 2020 · Journal of Science Policy & Governance
30. Revalidation of the Federal Pretrial Risk Assessment Instrument (PTRA): Testing the PTRA for Predictive Biases
    Thomas H. Cohen, Christopher T. Lowenkamp · 2018 · SSRN Electronic Journal
31. Jail-Based Court Notifications to Improve Appearance Rates Following Early Pretrial Release
    Chelsea M. A. Foudray, Spencer G. Lawson, Evan Marie Lowder · 2022 · American Journal of Criminal Justice
32. Artificial Intelligence and Judging
    Anthony Niblett · 2024 · Oxford University Press eBooks
33. Risk Perception and Risk Communication: Multi‐Actor Perspectives on Pretrial Decision‐Making
    Ashley E. Rodriguez, Evan Marie Lowder, Peyton Frye · 2025 · Behavioral Sciences & the Law
34. Problems with Probability
    Anthony Joseph Casey, Anthony Niblett · 2023 · University of Toronto Law Journal
35. Fair Few-Shot Learning with Auxiliary Sets
    Song Wang, Jing Ma, Lu Cheng, Jundong Li · 2023 · Frontiers in artificial intelligence and applications
36. On Fairness and Calibration
    Manish Raghavan · 2023 · ACM eBooks
37. Predictability of Violent Behaviour and Recidivism
    Serena Quattrocolo · 2020 · Legal studies in international, european and comparative criminal law
38. Algorithmic Monoculture and Social Welfare
    Manish Raghavan · 2023 · ACM eBooks
39. Decision-makers Processing of AI Algorithmic Advice: Automation Bias versus Selective Adherence.
    Saar Alon‐Barkat, Madalina Busuioc · 2021 · arXiv (Cornell University)
40. Building Non-Discriminatory Algorithms in Selected Data
    David Scott Arnold, Will Dobbie, Peter Hull · 2024 · National Bureau of Economic Research
41. Artificial Intelligence, Bureaucratic Discretion, and Democratic Administration
    Lefteris Jason Anastasopoulos · 2026 · Public Administration Review
42. An Assessment of Racial Disparities in Pretrial Decision‐Making Using Misclassification Models
    Kimberly A. Hochstedler Webb, S G Riley, Martin T. Wells · 2026 · Journal of Empirical Legal Studies
43. Multi‐study examination of criminal‐legal professionals' use of risk assessments in pretrial decision‐making
    Anna Shen Knes, Evan Marie Lowder, Mindy L. Thai, Sydney M. Reuter, Autumn R. Kent · 2025 · Legal and Criminological Psychology
44. A methodological template for the next generation: Redesigning the STRONG-R needs assessment
    Zachary K. Hamilton, Xiaohan Mei, Jennifer J. Tostlebe, Baylee Allen-Flores, John Ursino, Alex C. Kigerl · 2025 · Journal of Criminal Justice
45. Addressing Uncertainty in LLM Outputs for Trust Calibration Through Visualization and User Interface Design
    H. L. Armstrong, Ashley Anderson, Rebecca Planchart, Kweku Baidoo, Matthew Peterson · 2025 · Visible Language
46. Mitigating Bias in Algorithmic Decision-making: Evaluating Claims and Practices
    Manish Raghavan · 2023 · ACM eBooks
47. The Financial Consequences of Pretrial Detention
    Pablo Slutzky, Sheng-Jun Xu · 2025 · Review of Financial Studies
48. A general framework for analyzing the effects of algorithms on optimal competition laws
    Michal S. Gal, Jorge A. Padilla · 2025 · Theoretical Inquiries in Law
49. Implications and Recommendations
    ROBIN SHEPARD ENGEL, Robert E. Worden, Nicholas A Corsaro, Hannah D. McManus, Danielle Reynolds, Hannah Cochran, Gabrielle T. Isaza, Jennifer Calnon Cherkauskas · 2019 · Springer eBooks
50. The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons
    Manish Raghavan · 2023 · ACM eBooks
51. “Siri, how long should this offender stay in prison?” Considerations about the use of algorithms for judgments in criminal proceedings
    Anna-Katharina Dhungel · 2022 · IEEE International Conference on Big Data (BigData)
52. Stereotypical Bias Amplification, and Reversal, in an Experimental Model of Human Interaction with Generative AI
    Kevin Allan, Jacobo Azcona, Yaji Sripada, Georgios Leontidis, Clare A. M. Sutherland, Louise H. Phillips, Doug Martin · 2024
53. El Sesgo Algorítmico en Sistemas Judiciales y su Impacto en Víctimas de Género (Algorithmic Bias in Judicial Systems and Its Impact on Gender Violence Victims)
    Yackson Eustaquio Chaverra Mena · 2025 · SSRN Electronic Journal
54. Bargaining in the Shadow of the Algorithm
    Benjamin Minhao Chen, Anthony Niblett · 2025 · SSRN Electronic Journal
55. Algorithmic monoculture and social welfare
    2023 · The Societal Impacts of Algorithmic Decision-Making
56. Predictive Power at What Cost? Economic and Racial Justice of Data-Driven Algorithms
    Ranae Jabri · 2019 · SSRN Electronic Journal
57. Forecasting the future while investigating the past. The use of computational models in pre-trial detention decisions.
    Serena Quattrocolo · 2021 · Revista Brasileira de Direito Processual Penal
58. Risk Assessment in Sentencing
    Anne L. Metz, Matthew Adams · 2021 · Springer eBooks
59. Maschinelles Lernen in der Gesundheitsversorgung – Aktueller Stand der Forschung und klinische Anwendung
    Jan Wolff, Michael-Mark Theil · 2022 · Gesundheit. Politik - Gesellschaft - Wirtschaft
60. Cohort bias in predictive risk assessments of future criminal justice system involvement
    Jens Ludwig, Jon Michael Kleinberg, Sendhil Mullainathan · 2023 · Proceedings of the National Academy of Sciences
61. The Governance Challenges with Addressing Fairness in AI
    Will Rinehart · 2023 · SSRN Electronic Journal
62. Bibliography
    Manish Raghavan · 2023 · ACM eBooks
63. Future Directions
    Manish Raghavan · 2023 · ACM eBooks
64. Introduction
    Manish Raghavan · 2023 · ACM eBooks
65. How Do Classifiers Induce Agents to Behave Strategically?
    Manish Raghavan · 2023 · ACM eBooks
66. How Do Classifiers Induce Agents to Behave Strategically?
    Manish Raghavan · 2023 · ACM eBooks
67. Authors’ Biographies/Index
    Manish Raghavan · 2023 · ACM eBooks
68. Table of Domestic Cases
    Alberto Quintavalla, Jeroen Temperman · 2023 · Oxford University Press eBooks
69. Table of International Cases
    Alberto Quintavalla, Jeroen Temperman · 2023 · Oxford University Press eBooks
70. Table of Domestic Law
    Alberto Quintavalla, Jeroen Temperman · 2023 · Oxford University Press eBooks
71. Table of International Law
    Alberto Quintavalla, Jeroen Temperman · 2023 · Oxford University Press eBooks
72. Abbreviations
    Alberto Quintavalla, Jeroen Temperman · 2023 · Oxford University Press eBooks
73. Copyright Page
    Alberto Quintavalla, Jeroen Temperman · 2023 · Oxford University Press eBooks
74. A Study of the Effectiveness of Using Deep Learning Algorithms to Analyze Legal Risk Identification in Social Work Programs
    Xinxin Fan · 2025 · Applied Mathematics and Nonlinear Sciences
75. Notes
    Christopher Slobogin · 2025 · Cambridge University Press eBooks
76. Financial pretrial release and innovations in outcome measurement
    Victoria A. Terranova, Jessie Slepicka · 2025 · Journal of Criminal Justice
77. It's Not My Responsibility: How Autonomy-Restricting Algorithms Enable Ethical Disengagement and Responsibility Displacement
    Jonathan Westover · 2026 · Future of Work The Journal of Labor Transformation Technology Integration and Human Adaptation
78. Inherent Tradeoffs in the Fair Determination of Risk Scores
    Manish Raghavan · 2023 · ACM eBooks
79. The Externalities of Exploration and How Data Diversity Helps Exploitation
    Manish Raghavan · 2023 · ACM eBooks
80. Selection Problems in the Presence of Implicit Bias
    Manish Raghavan · 2023 · ACM eBooks
81. Emerging Technology-Based Natural Disaster Prevention Infrastructure
    S Arjune, Neeraj Kumar, R. Vinoth Kumar, M. Lakshmi Priya, P. Arulkumar, Kaushik Bharti, V. Bhoopathy · 2026 · IGI Global eBooks
82. Comparing undergraduates’ stigma toward peers with criminal records and mental health disorders
    Kieran J. Schendel, Erik M. Benau · 2026 · BMC Psychology
83. On Subjectivity, Bias and Fairness in Language Model Learning
    Yacine Gaci · 2023 · theses.fr (ABES)
84. Ethical Considerations of Human-AI Collaboration: A Normative Perspective for Organizational Practice
    Keze Zhang, Majid Khan, Sajid Khan · 2026 · Future of business and finance
85. How do pretrial defendants perceive and experience pretrial risk assessments? Mixed-methods findings across 10 pretrial services agencies
    Evan Marie Lowder, Chelsea M. A. Foudray, Peyton Frye, Hayley Jean Carlisle · 2026 · Journal of Crime and Justice
86. Unfairness in Information Retrieval
    Harshit Mishra, Sucheta Soundarajan · 2026 · SpringerBriefs in intelligent systems
87. Learning to predict violence: Deep learning approaches to violent crime prediction during pretrial release
    Matthew T. DeMichele, Ian A Silver, William S. Parkin · 2026 · Criminology & Public Policy
88. Efficiency vs. Equity: A Structured Interdisciplinary Review of AI in Criminal Justice Risk Assessments
    Gentry Atkinson, Katlyn Casagrande · 2026 · Information
89. When stability masks change: pretrial detention and changes in county jail use, 1999–2019
    Joshua H. Williams · 2026 · Journal of Crime and Justice
90. Justice, Algorithms, and Accountability
    Ananya Pandey · 2026 · Advances in computational intelligence and robotics book series
91. Is AI ethics about AI?
    Alexander Williams Tolbert · 2026 · Philosophical Studies
92. Algorithmic governance and democratic accountability: rethinking policy design in the age of artificial intelligence
    Burim Mexhuani · 2026 · Policy Sciences