Copertina

How May U.S. Courts Scrutinize Their Recidivism Risk Assessment Tools? Contextualizing AI Fairness Criteria on a Judicial Scrutiny-based Framework

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Nguyen, Tin, Xu, Jiannan, Nguyen-Le, Phuong-Anh, Lazar, Jonathan, Braman, Donald, Daumé III, Hal, Jelveh, Zubin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools?
di: Nguyen, Tin Trung, et al.
Pubblicazione: (2025)

Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics
di: Nguyen, Tin Trung, et al.
Pubblicazione: (2025)

The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features
di: Goyal, Navita, et al.
Pubblicazione: (2023)

'Rich Dad, Poor Lad': How do Large Language Models Contextualize Socioeconomic Factors in College Admission ?
di: Nghiem, Huy, et al.
Pubblicazione: (2025)

Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring
di: Nghiem, Huy, et al.
Pubblicazione: (2026)

Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections
di: Zhao, Lingjun, et al.
Pubblicazione: (2024)

A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
di: Zhao, Lingjun, et al.
Pubblicazione: (2025)

HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models
di: Nghiem, Huy, et al.
Pubblicazione: (2024)

When Stereotypes GTG: The Impact of Predictive Text Suggestions on Gender Bias in Human-AI Co-Writing
di: Baumler, Connor, et al.
Pubblicazione: (2024)

Steering Safely or Off a Cliff? Rethinking Specificity and Robustness in Inference-Time Interventions
di: Goyal, Navita, et al.
Pubblicazione: (2026)

SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models
di: Nghiem, Huy, et al.
Pubblicazione: (2025)

Language Models Predict Empathy Gaps Between Social In-groups and Out-groups
di: Hou, Yu, et al.
Pubblicazione: (2025)

Causal Effect of Group Diversity on Redundancy and Coverage in Peer-Reviewing
di: Goyal, Navita, et al.
Pubblicazione: (2024)

Pragmatics Meets Culture: Culturally-adapted Artwork Description Generation and Evaluation
di: Zhao, Lingjun, et al.
Pubblicazione: (2026)

"You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
di: Nghiem, Huy, et al.
Pubblicazione: (2024)

Balancing Safety and Helpfulness in Healthcare AI Assistants through Iterative Preference Alignment
di: Nghiem, Huy, et al.
Pubblicazione: (2025)

Antioxidant activity of extract from some squid species in Khanh Hoa
di: Nguyen, Phuong Anh
Pubblicazione: (2020)

Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA
di: Gor, Maharshi, et al.
Pubblicazione: (2024)

CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks
di: Nguyen, Chau, et al.
Pubblicazione: (2024)

Scrutinizing the Scrutiny: How Do Professional Auditors Approach Digital Ventures in Municipal Value for Money Audits?
di: Joakim Engström, et al.
Pubblicazione: (2025)

PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control
di: Zheng, Ruijie, et al.
Pubblicazione: (2024)

Leveraging Habitat Information for Fine-grained Bird Identification
di: Nguyen, Tin, et al.
Pubblicazione: (2023)

Larger Is Not Always Better: Leveraging Structured Code Diffs for Comment Inconsistency Detection
di: Nguyen, Phong, et al.
Pubblicazione: (2025)

Can Hallucination Correction Improve Video-Language Alignment?
di: Zhao, Lingjun, et al.
Pubblicazione: (2025)

Recovery of Phenolic Compound and Chlorogenic Acid From Elsholtzia ciliata Leaves by Mild Thermal Pressure Extraction (mTPE) and Assessment of Antimicrobial Activity
di: Nguyen Phuong Vi Truong, et al.
Pubblicazione: (2025)

Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style
di: Baumler, Connor, et al.
Pubblicazione: (2026)

Natural Language Inference Improves Compositionality in Vision-Language Models
di: Cascante-Bonilla, Paola, et al.
Pubblicazione: (2024)

My LLM might Mimic AAE -- But When Should it?
di: Sandoval, Sandra C., et al.
Pubblicazione: (2025)

Reheat Nachos for Dinner? Evaluating AI Support for Cross-Cultural Communication of Neologisms
di: Ki, Dayeon, et al.
Pubblicazione: (2026)

Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users
di: Zeraati, Farnaz Zamiri, et al.
Pubblicazione: (2026)

Seamful XAI: Operationalizing Seamful Design in Explainable AI
di: Ehsan, Upol, et al.
Pubblicazione: (2022)

Qualitative Coding Analysis through Open-Source Large Language Models: A User Study and Design Recommendations
di: Ngo, Tung T., et al.
Pubblicazione: (2026)

University Library Needs More Scrutiny in Accreditation.
di: McBride, Donald L.
Pubblicazione: (1986)

Fairness Is More Than Algorithms: Racial Disparities in Time-to-Recidivism
di: Han, Jessy Xinyi, et al.
Pubblicazione: (2025)

Detecting Statistically Significant Fairness Violations in Recidivism Forecasting Algorithms
di: Joshi, Animesh
Pubblicazione: (2025)

(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court
di: Jin, Angela, et al.
Pubblicazione: (2024)

Empowering Affected Individuals to Shape AI Fairness Assessments: Processes, Criteria, and Tools
di: Luo, Lin, et al.
Pubblicazione: (2026)

Transformer-Based Contextualized Language Models Joint with Neural Networks for Natural Language Inference in Vietnamese
di: Nguyen, Dat Van-Thanh, et al.
Pubblicazione: (2024)

The Impact of Integrating Artificial Intelligence Tools on Customer Experience in E-Commerce
di: Nguyen Duc Hoai Anh
Pubblicazione: (2026)

Model Multiplicity and Predictive Arbitrariness in Recidivism Risk Assessment
di: Singh, Ashwin, et al.
Pubblicazione: (2026)