Image de couverture de livre

Evaluating AI Group Fairness: a Fuzzy Logic Perspective

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Krasanakis, Emmanouil, Papadopoulos, Symeon
Format:	Preprint
Publié:	2024
Sujets:	Artificial Intelligence Computers and Society Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Towards Standardizing AI Bias Exploration
par: Krasanakis, Emmanouil, et autres
Publié: (2024)

Toward Unifying Group Fairness Evaluation from a Sparsity Perspective
par: Sheng, Zhecheng, et autres
Publié: (2025)

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
par: Han, Xiaotian, et autres
Publié: (2023)

Procedural Fairness via Group Counterfactual Explanation
par: Popoola, Gideon, et autres
Publié: (2026)

FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning
par: Roy, Arjun, et autres
Publié: (2023)

A Justice Lens on Fairness and Ethics Courses in Computing Education: LLM-Assisted Multi-Perspective and Thematic Evaluation
par: Andrews, Kenya S., et autres
Publié: (2025)

Inducing Group Fairness in Prompt-Based Language Model Decisions
par: Atwood, James, et autres
Publié: (2024)

Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
par: Deck, Luca, et autres
Publié: (2024)

GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
par: Meerza, Syed Irfan Ali, et autres
Publié: (2024)

A Unifying Human-Centered AI Fairness Framework
par: Rahman, Munshi Mahbubur, et autres
Publié: (2025)

Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth
par: Kadioglu, Serdar, et autres
Publié: (2024)

Data Augmentation via Diffusion Model to Enhance AI Fairness
par: Blow, Christina Hastings, et autres
Publié: (2024)

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
par: Yuan, Chih-Cheng Rex, et autres
Publié: (2025)

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

Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains
par: Belhadj, Samia, et autres
Publié: (2024)

Evaluating Large Language Models for Fair and Reliable Organ Allocation
par: Kim, Brian Hyeongseok, et autres
Publié: (2025)

AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions
par: Wang, Zichong, et autres
Publié: (2025)

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
par: Lerner, Emilia Agis, et autres
Publié: (2024)

A Collectivist, Economic Perspective on AI
par: Jordan, Michael I.
Publié: (2025)

TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE
par: Panagiotou, Emmanouil, et autres
Publié: (2024)

Fairness in Federated Learning: Fairness for Whom?
par: Taik, Afaf, et autres
Publié: (2025)

Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness
par: Yuan, Yingfang, et autres
Publié: (2024)

Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits
par: Pokhriyal, Subham, et autres
Publié: (2024)

Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning
par: Paxton, Kuniko, et autres
Publié: (2025)

Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Review
par: Mahuli, Amruta, et autres
Publié: (2024)

On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis
par: Binkyte, Ruta, et autres
Publié: (2022)

OxonFair: A Flexible Toolkit for Algorithmic Fairness
par: Delaney, Eoin, et autres
Publié: (2024)

FairPFN: Transformers Can do Counterfactual Fairness
par: Robertson, Jake, et autres
Publié: (2024)

FairMT: Fairness for Heterogeneous Multi-Task Learning
par: Hu, Guanyu, et autres
Publié: (2025)

Fair CCA for Fair Representation Learning: An ADNI Study
par: Hou, Bojian, et autres
Publié: (2025)

Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare
par: Shang, Tianqi, et autres
Publié: (2024)

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

Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
par: Alamdari, Parand A., et autres
Publié: (2023)

Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
par: Song, Kefan, et autres
Publié: (2025)

Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools
par: Gonzalez, Rosemarie Santa, et autres
Publié: (2024)

FairGridSearch: A Framework to Compare Fairness-Enhancing Models
par: Ma, Shih-Chi, et autres
Publié: (2024)

FairJob: A Real-World Dataset for Fairness in Online Systems
par: Vladimirova, Mariia, et autres
Publié: (2024)

SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
par: Wang, Zhihao, et autres
Publié: (2024)

FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
par: Liu, Pengxi, et autres
Publié: (2025)

FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
par: Zhu, Lin, et autres
Publié: (2025)