Cover Image

A Unifying Human-Centered AI Fairness Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rahman, Munshi Mahbubur, Pan, Shimei, Foulds, James R.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can Generative AI be Egalitarian?
by: Feldman, Philip, et al.
Published: (2025)

A Comparative Simulation Study of the Fairness and Accuracy of Predictive Policing Systems in Baltimore City
by: Semsar, Samin, et al.
Published: (2026)

On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis
by: Binkyte, Ruta, et al.
Published: (2022)

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
by: Lerner, Emilia Agis, et al.
Published: (2024)

Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI
by: Popoola, Gideon, et al.
Published: (2026)

FairGridSearch: A Framework to Compare Fairness-Enhancing Models
by: Ma, Shih-Chi, et al.
Published: (2024)

Toward Unifying Group Fairness Evaluation from a Sparsity Perspective
by: Sheng, Zhecheng, et al.
Published: (2025)

Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
by: Deck, Luca, et al.
Published: (2024)

A Post-Processing-Based Fair Federated Learning Framework
by: Zhou, Yi, et al.
Published: (2025)

HH4AI: A methodological Framework for AI Human Rights impact assessment under the EUAI ACT
by: Ceravolo, Paolo, et al.
Published: (2025)

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
by: Han, Xiaotian, et al.
Published: (2023)

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
by: Yuan, Chih-Cheng Rex, et al.
Published: (2025)

Algorithmic Fairness in AI Surrogates for End-of-Life Decision-Making
by: Ahmad, Muhammad Aurangzeb
Published: (2025)

Data Augmentation via Diffusion Model to Enhance AI Fairness
by: Blow, Christina Hastings, et al.
Published: (2024)

Evaluating AI Group Fairness: a Fuzzy Logic Perspective
by: Krasanakis, Emmanouil, et al.
Published: (2024)

Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
by: Zhang, Lujing, et al.
Published: (2024)

Alternative Fairness and Accuracy Optimization in Criminal Justice
by: Wu, Shaolong, et al.
Published: (2025)

Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Review
by: Mahuli, Amruta, et al.
Published: (2024)

AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions
by: Wang, Zichong, et al.
Published: (2025)

OxonFair: A Flexible Toolkit for Algorithmic Fairness
by: Delaney, Eoin, et al.
Published: (2024)

Fairness in Federated Learning: Fairness for Whom?
by: Taik, Afaf, et al.
Published: (2025)

A New Paradigm for Counterfactual Reasoning in Fairness and Recourse
by: Bynum, Lucius E. J., et al.
Published: (2024)

FairJob: A Real-World Dataset for Fairness in Online Systems
by: Vladimirova, Mariia, et al.
Published: (2024)

Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools
by: Gonzalez, Rosemarie Santa, et al.
Published: (2024)

End-to-End Optimization and Learning of Fair Court Schedules
by: Dinh, My H, et al.
Published: (2024)

FairMT: Fairness for Heterogeneous Multi-Task Learning
by: Hu, Guanyu, et al.
Published: (2025)

Fair CCA for Fair Representation Learning: An ADNI Study
by: Hou, Bojian, et al.
Published: (2025)

FairPFN: Transformers Can do Counterfactual Fairness
by: Robertson, Jake, et al.
Published: (2024)

HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting
by: Yu, Shaohan, et al.
Published: (2024)

Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
by: Dinh, My H., et al.
Published: (2024)

Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
by: Schröder, Maresa, et al.
Published: (2023)

FairHealth: An Open-Source Python Library for Trustworthy Healthcare AI in Low-Resource Settings
by: Yesmin, Farjana
Published: (2026)

RAISE: A Unified Framework for Responsible AI Scoring and Evaluation
by: Nguyen, Loc Phuc Truong, et al.
Published: (2025)

Inducing Group Fairness in Prompt-Based Language Model Decisions
by: Atwood, James, et al.
Published: (2024)

Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
by: Alamdari, Parand A., et al.
Published: (2023)

Defining AI Models and AI Systems: A Framework to Resolve the Boundary Problem
by: Sun, Yuanyuan, et al.
Published: (2026)

FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
by: Liu, Pengxi, et al.
Published: (2025)

FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
by: Zhu, Lin, et al.
Published: (2025)

SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
by: Wang, Zhihao, et al.
Published: (2024)

Towards AI Transparency and Accountability: A Global Framework for Exchanging Information on AI Systems
by: Buckley, Warren, et al.
Published: (2023)