Auditing LLMs for Algorithmic Fairness in Casenote-Augmented Tabular Prediction
Fuente:
arXiv
Guardado en:
| Autores principales: | Lee, Xiao Qi, Nwankwo, Ezinne, Zhou, Angela |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Batch-Adaptive Causal Annotations
por: Nwankwo, Ezinne, et al.
Publicado: (2025)
por: Nwankwo, Ezinne, et al.
Publicado: (2025)
Reduced-Rank Multi-objective Policy Learning and Optimization
por: Nwankwo, Ezinne, et al.
Publicado: (2024)
por: Nwankwo, Ezinne, et al.
Publicado: (2024)
Audit Me If You Can: Query-Efficient Active Fairness Auditing of Black-Box LLMs
por: Hartmann, David, et al.
Publicado: (2026)
por: Hartmann, David, et al.
Publicado: (2026)
FairPFN: A Tabular Foundation Model for Causal Fairness
por: Robertson, Jake, et al.
Publicado: (2025)
por: Robertson, Jake, et al.
Publicado: (2025)
Peer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing
por: Fang, Shiqi, et al.
Publicado: (2024)
por: Fang, Shiqi, et al.
Publicado: (2024)
Distribution-Specific Auditing For Subgroup Fairness
por: Hsu, Daniel, et al.
Publicado: (2024)
por: Hsu, Daniel, et al.
Publicado: (2024)
Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models
por: Abrar, Saad Mohammad, et al.
Publicado: (2024)
por: Abrar, Saad Mohammad, et al.
Publicado: (2024)
Auditing Fairness under Unobserved Confounding
por: Byun, Yewon, et al.
Publicado: (2024)
por: Byun, Yewon, et al.
Publicado: (2024)
FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups
por: Giannopoulos, Giorgos, et al.
Publicado: (2024)
por: Giannopoulos, Giorgos, et al.
Publicado: (2024)
Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing
por: Basu, Debabrota, et al.
Publicado: (2025)
por: Basu, Debabrota, et al.
Publicado: (2025)
Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing
por: Xian, Ruicheng, et al.
Publicado: (2025)
por: Xian, Ruicheng, et al.
Publicado: (2025)
Auditing Fairness by Betting
por: Chugg, Ben, et al.
Publicado: (2023)
por: Chugg, Ben, et al.
Publicado: (2023)
Quantifying Prediction Consistency Under Fine-Tuning Multiplicity in Tabular LLMs
por: Hamman, Faisal, et al.
Publicado: (2024)
por: Hamman, Faisal, et al.
Publicado: (2024)
A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food
por: Artman, Conor M., et al.
Publicado: (2024)
por: Artman, Conor M., et al.
Publicado: (2024)
Cost Efficient Fairness Audit Under Partial Feedback
por: Das, Nirjhar, et al.
Publicado: (2025)
por: Das, Nirjhar, et al.
Publicado: (2025)
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness
por: Somerstep, Seamus, et al.
Publicado: (2024)
por: Somerstep, Seamus, et al.
Publicado: (2024)
Unprocessing Seven Years of Algorithmic Fairness
por: Cruz, André F., et al.
Publicado: (2023)
por: Cruz, André F., et al.
Publicado: (2023)
A Deployment Audit of Release-Side Risk in Conformal Triage under Prevalence Shift
por: Li, Chengze, et al.
Publicado: (2026)
por: Li, Chengze, et al.
Publicado: (2026)
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
por: Yuan, Chih-Cheng Rex, et al.
Publicado: (2025)
por: Yuan, Chih-Cheng Rex, et al.
Publicado: (2025)
Evaluating the Fairness of the MIMIC-IV Dataset and a Baseline Algorithm: Application to the ICU Length of Stay Prediction
por: Kakadiaris, Alexandra
Publicado: (2023)
por: Kakadiaris, Alexandra
Publicado: (2023)
Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness
por: Simson, Jan, et al.
Publicado: (2025)
por: Simson, Jan, et al.
Publicado: (2025)
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model
por: Scantamburlo, Teresa, et al.
Publicado: (2023)
por: Scantamburlo, Teresa, et al.
Publicado: (2023)
The Impact of Differential Feature Under-reporting on Algorithmic Fairness
por: Akpinar, Nil-Jana, et al.
Publicado: (2024)
por: Akpinar, Nil-Jana, et al.
Publicado: (2024)
FairRAG: Fair Human Generation via Fair Retrieval Augmentation
por: Shrestha, Robik, et al.
Publicado: (2024)
por: Shrestha, Robik, et al.
Publicado: (2024)
Auditing Fairness under Model Updates: Fundamental Complexity and Property-Preserving Updates
por: Ajarra, Ayoub, et al.
Publicado: (2026)
por: Ajarra, Ayoub, et al.
Publicado: (2026)
OxonFair: A Flexible Toolkit for Algorithmic Fairness
por: Delaney, Eoin, et al.
Publicado: (2024)
por: Delaney, Eoin, et al.
Publicado: (2024)
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity
por: Bell, Andrew, et al.
Publicado: (2024)
por: Bell, Andrew, et al.
Publicado: (2024)
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
por: Zhu, Lin, et al.
Publicado: (2025)
por: Zhu, Lin, et al.
Publicado: (2025)
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis
por: Binkyte, Ruta, et al.
Publicado: (2022)
por: Binkyte, Ruta, et al.
Publicado: (2022)
Assessing Predictive Models for Fairness Based on Movement Patterns
por: Lettich, Francesco, et al.
Publicado: (2026)
por: Lettich, Francesco, et al.
Publicado: (2026)
Enhancing Multi-Attribute Fairness in Healthcare Predictive Modeling
por: Wang, Xiaoyang, et al.
Publicado: (2025)
por: Wang, Xiaoyang, et al.
Publicado: (2025)
Bridging Prediction and Intervention Problems in Social Systems
por: Liu, Lydia T., et al.
Publicado: (2025)
por: Liu, Lydia T., et al.
Publicado: (2025)
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool
por: Holstege, Floris, et al.
Publicado: (2025)
por: Holstege, Floris, et al.
Publicado: (2025)
FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records
por: Wang, Yuqing, et al.
Publicado: (2024)
por: Wang, Yuqing, et al.
Publicado: (2024)
Auditing for Human Expertise
por: Alur, Rohan, et al.
Publicado: (2023)
por: Alur, Rohan, et al.
Publicado: (2023)
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks
por: He, Erhu, et al.
Publicado: (2024)
por: He, Erhu, et al.
Publicado: (2024)
Exploring Equality: An Investigation into Custom Loss Functions for Fairness Definitions
por: Lee, Gordon, et al.
Publicado: (2025)
por: Lee, Gordon, et al.
Publicado: (2025)
Fair CCA for Fair Representation Learning: An ADNI Study
por: Hou, Bojian, et al.
Publicado: (2025)
por: Hou, Bojian, et al.
Publicado: (2025)
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion
por: Lucas, Mary M., et al.
Publicado: (2024)
por: Lucas, Mary M., et al.
Publicado: (2024)
Watching the Watchers: A Comparative Fairness Audit of Cloud-based Content Moderation Services
por: Hartmann, David, et al.
Publicado: (2024)
por: Hartmann, David, et al.
Publicado: (2024)
Ejemplares similares
-
Batch-Adaptive Causal Annotations
por: Nwankwo, Ezinne, et al.
Publicado: (2025) -
Reduced-Rank Multi-objective Policy Learning and Optimization
por: Nwankwo, Ezinne, et al.
Publicado: (2024) -
Audit Me If You Can: Query-Efficient Active Fairness Auditing of Black-Box LLMs
por: Hartmann, David, et al.
Publicado: (2026) -
FairPFN: A Tabular Foundation Model for Causal Fairness
por: Robertson, Jake, et al.
Publicado: (2025) -
Peer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing
por: Fang, Shiqi, et al.
Publicado: (2024)