AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Zichong, Yin, Zhipeng, Yap, Roland H. C., Zhang, Wenbin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI
by: Amon, Archer, et al.
Published: (2024)
by: Amon, Archer, et al.
Published: (2024)
Fairness Definitions in Language Models Explained
by: Yin, Zhipeng, et al.
Published: (2024)
by: Yin, Zhipeng, et al.
Published: (2024)
Fairness-Aware Graph Representation Learning with Limited Demographic Information
by: Wang, Zichong, et al.
Published: (2025)
by: Wang, Zichong, et al.
Published: (2025)
Datasets for Fairness in Language Models: An In-Depth Survey
by: Zhang, Jiale, et al.
Published: (2025)
by: Zhang, Jiale, et al.
Published: (2025)
Toward Fair Federated Learning under Demographic Disparities and Data Imbalance
by: Wu, Qiming, et al.
Published: (2025)
by: Wu, Qiming, et al.
Published: (2025)
Fair Clustering: Critique, Caveats, and Future Directions
by: Dickerson, John, et al.
Published: (2024)
by: Dickerson, John, et al.
Published: (2024)
AI and Remote Sensing for Resilient and Sustainable Built Environments: A Review of Current Methods, Open Data and Future Directions
by: Joulani, Ubada El, et al.
Published: (2025)
by: Joulani, Ubada El, et al.
Published: (2025)
GESD: Beyond Outcome-Oriented Fairness
by: Popoola, Gideon, et al.
Published: (2026)
by: Popoola, Gideon, et al.
Published: (2026)
Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI
by: Popoola, Gideon, et al.
Published: (2026)
by: Popoola, Gideon, et al.
Published: (2026)
Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains
by: Belhadj, Samia, et al.
Published: (2024)
by: Belhadj, Samia, 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)
by: Gonzalez, Rosemarie Santa, et al.
Published: (2024)
Machine Learning Techniques with Fairness for Prediction of Completion of Drug and Alcohol Rehabilitation
by: Roberts-Licklider, Karen, et al.
Published: (2024)
by: Roberts-Licklider, Karen, et al.
Published: (2024)
Thousands of AI Authors on the Future of AI
by: Grace, Katja, et al.
Published: (2024)
by: Grace, Katja, et al.
Published: (2024)
Time Series Analysis for Education: Methods, Applications, and Future Directions
by: Mao, Shengzhong, et al.
Published: (2024)
by: Mao, Shengzhong, et al.
Published: (2024)
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
by: Yuan, Chih-Cheng Rex, et al.
Published: (2025)
by: Yuan, Chih-Cheng Rex, et al.
Published: (2025)
Explainable AI for Predicting and Understanding Mathematics Achievement: A Cross-National Analysis of PISA 2018
by: Liu, Liu, et al.
Published: (2025)
by: Liu, Liu, et al.
Published: (2025)
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
by: Deck, Luca, et al.
Published: (2024)
by: Deck, Luca, et al.
Published: (2024)
What Is the Point of Equality in Machine Learning Fairness? Beyond Equality of Opportunity
by: Kong, Youjin
Published: (2025)
by: Kong, Youjin
Published: (2025)
A Unifying Human-Centered AI Fairness Framework
by: Rahman, Munshi Mahbubur, et al.
Published: (2025)
by: Rahman, Munshi Mahbubur, et al.
Published: (2025)
Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice via Social Determinants
by: Tang, Zeyu, et al.
Published: (2025)
by: Tang, Zeyu, et al.
Published: (2025)
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
by: Han, Xiaotian, et al.
Published: (2023)
by: Han, Xiaotian, et al.
Published: (2023)
Data Augmentation via Diffusion Model to Enhance AI Fairness
by: Blow, Christina Hastings, et al.
Published: (2024)
by: Blow, Christina Hastings, et al.
Published: (2024)
Algorithmic Fairness in AI Surrogates for End-of-Life Decision-Making
by: Ahmad, Muhammad Aurangzeb
Published: (2025)
by: Ahmad, Muhammad Aurangzeb
Published: (2025)
Evaluating AI Group Fairness: a Fuzzy Logic Perspective
by: Krasanakis, Emmanouil, et al.
Published: (2024)
by: Krasanakis, Emmanouil, et al.
Published: (2024)
Fair CCA for Fair Representation Learning: An ADNI Study
by: Hou, Bojian, et al.
Published: (2025)
by: Hou, Bojian, et al.
Published: (2025)
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
by: Ramachandran, Sreeraj, et al.
Published: (2024)
by: Ramachandran, Sreeraj, et al.
Published: (2024)
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)
by: Lerner, Emilia Agis, et al.
Published: (2024)
Fairness in Federated Learning: Fairness for Whom?
by: Taik, Afaf, et al.
Published: (2025)
by: Taik, Afaf, et al.
Published: (2025)
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
by: Wang, Zhihao, et al.
Published: (2024)
by: Wang, Zhihao, et al.
Published: (2024)
Generative AI Meets Future Cities: Towards an Era of Autonomous Urban Intelligence
by: Wang, Dongjie, et al.
Published: (2023)
by: Wang, Dongjie, et al.
Published: (2023)
Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Review
by: Mahuli, Amruta, et al.
Published: (2024)
by: Mahuli, Amruta, et al.
Published: (2024)
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)
by: Binkyte, Ruta, et al.
Published: (2022)
Procedural Fairness Through Decoupling Objectionable Data Generating Components
by: Tang, Zeyu, et al.
Published: (2023)
by: Tang, Zeyu, et al.
Published: (2023)
OxonFair: A Flexible Toolkit for Algorithmic Fairness
by: Delaney, Eoin, et al.
Published: (2024)
by: Delaney, Eoin, et al.
Published: (2024)
FairMT: Fairness for Heterogeneous Multi-Task Learning
by: Hu, Guanyu, et al.
Published: (2025)
by: Hu, Guanyu, et al.
Published: (2025)
FairPFN: Transformers Can do Counterfactual Fairness
by: Robertson, Jake, et al.
Published: (2024)
by: Robertson, Jake, et al.
Published: (2024)
FairHealth: An Open-Source Python Library for Trustworthy Healthcare AI in Low-Resource Settings
by: Yesmin, Farjana
Published: (2026)
by: Yesmin, Farjana
Published: (2026)
Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions
by: Tong, Richard, et al.
Published: (2024)
by: Tong, Richard, et al.
Published: (2024)
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
by: Alamdari, Parand A., et al.
Published: (2023)
by: Alamdari, Parand A., et al.
Published: (2023)
Fairness of ChatGPT
by: Li, Yunqi, et al.
Published: (2023)
by: Li, Yunqi, et al.
Published: (2023)
Similar Items
-
Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI
by: Amon, Archer, et al.
Published: (2024) -
Fairness Definitions in Language Models Explained
by: Yin, Zhipeng, et al.
Published: (2024) -
Fairness-Aware Graph Representation Learning with Limited Demographic Information
by: Wang, Zichong, et al.
Published: (2025) -
Datasets for Fairness in Language Models: An In-Depth Survey
by: Zhang, Jiale, et al.
Published: (2025) -
Toward Fair Federated Learning under Demographic Disparities and Data Imbalance
by: Wu, Qiming, et al.
Published: (2025)