On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation
Fuente:
arXiv
Saved in:
| Main Authors: | Zhioua, Sami, Binkyte, Ruta, Ouni, Ayoub, Ktata, Farah Barika |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables
by: Binkyte, Ruta, et al.
Published: (2023)
by: Binkyte, Ruta, et al.
Published: (2023)
Interactional Fairness in LLM Multi-Agent Systems: An Evaluation Framework
by: Binkyte, Ruta
Published: (2025)
by: Binkyte, Ruta
Published: (2025)
On the Impact of Multi-dimensional Local Differential Privacy on Fairness
by: Makhlouf, Karima, et al.
Published: (2023)
by: Makhlouf, Karima, et al.
Published: (2023)
Fair Representation in Parliamentary Summaries: Measuring and Mitigating Inclusion Bias
by: Cunningham, Eoghan, et al.
Published: (2025)
by: Cunningham, Eoghan, et al.
Published: (2025)
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
by: Binkyte, Ruta, et al.
Published: (2025)
by: Binkyte, Ruta, et al.
Published: (2025)
Evolved Sample Weights for Bias Mitigation: Effectiveness Depends on the Fairness Objective
by: Saini, Anil K., et al.
Published: (2025)
by: Saini, Anil K., et al.
Published: (2025)
Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation
by: Parikh, Aditya, et al.
Published: (2026)
by: Parikh, Aditya, et al.
Published: (2026)
FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning
by: Roy, Arjun, et al.
Published: (2023)
by: Roy, Arjun, et al.
Published: (2023)
Bias in Large Language Models: Origin, Evaluation, and Mitigation
by: Guo, Yufei, et al.
Published: (2024)
by: Guo, Yufei, et al.
Published: (2024)
Causal Discovery Under Local Privacy
by: Binkytė, Rūta, et al.
Published: (2023)
by: Binkytė, Rūta, et al.
Published: (2023)
Software Fairness Dilemma: Is Bias Mitigation a Zero-Sum Game?
by: Chen, Zhenpeng, et al.
Published: (2025)
by: Chen, Zhenpeng, et al.
Published: (2025)
Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels
by: Wei, Qi, et al.
Published: (2024)
by: Wei, Qi, et al.
Published: (2024)
Mitigating Algorithmic Bias and Ensuring Fairness in Machine Learning
by: Ibrahim Abubakar Buba
Published: (2025)
by: Ibrahim Abubakar Buba
Published: (2025)
A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles
by: Uddin, Md Ashraf, et al.
Published: (2025)
by: Uddin, Md Ashraf, et al.
Published: (2025)
Fair Recourse for All: Ensuring Individual and Group Fairness in Counterfactual Explanations
by: Ezzeddine, Fatima, et al.
Published: (2026)
by: Ezzeddine, Fatima, et al.
Published: (2026)
ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias
by: Adriaensen, Rik, et al.
Published: (2025)
by: Adriaensen, Rik, et al.
Published: (2025)
Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency
by: Zhang, Yixuan, et al.
Published: (2024)
by: Zhang, Yixuan, et al.
Published: (2024)
Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising
by: Szandala, Tomasz, et al.
Published: (2025)
by: Szandala, Tomasz, et al.
Published: (2025)
Mitigating Bias in Concept Bottleneck Models for Fair and Interpretable Image Classification
by: Tong, Schrasing, et al.
Published: (2026)
by: Tong, Schrasing, et al.
Published: (2026)
Operationalizing Fairness in Text-to-Image Models: A Survey of Bias, Fairness Audits and Mitigation Strategies
by: Smith, Megan, et al.
Published: (2026)
by: Smith, Megan, et al.
Published: (2026)
Measuring and Mitigating Bias for Tabular Datasets with Multiple Protected Attributes
by: Duong, Manh Khoi, et al.
Published: (2024)
by: Duong, Manh Khoi, et al.
Published: (2024)
Auditing Fairness under Model Updates: Fundamental Complexity and Property-Preserving Updates
by: Ajarra, Ayoub, et al.
Published: (2026)
by: Ajarra, Ayoub, et al.
Published: (2026)
Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs
by: Tan, Xuwei, et al.
Published: (2026)
by: Tan, Xuwei, et al.
Published: (2026)
FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models
by: Fu, Zihao, et al.
Published: (2025)
by: Fu, Zihao, et al.
Published: (2025)
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization
by: Conti, Jean-Rémy, et al.
Published: (2025)
by: Conti, Jean-Rémy, et al.
Published: (2025)
Age Predictors Through the Lens of Generalization, Bias Mitigation, and Interpretability: Reflections on Causal Implications
by: Paul, Debdas, et al.
Published: (2026)
by: Paul, Debdas, et al.
Published: (2026)
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications
by: Yin, Zhipeng, et al.
Published: (2024)
by: Yin, Zhipeng, et al.
Published: (2024)
Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges
by: Kamalaruban, Parameswaran, et al.
Published: (2024)
by: Kamalaruban, Parameswaran, et al.
Published: (2024)
Adversarial Bias: Data Poisoning Attacks on Fairness
by: Chan, Eunice, et al.
Published: (2025)
by: Chan, Eunice, et al.
Published: (2025)
Unveiling and Mitigating Bias in Large Language Model Recommendations: A Path to Fairness
by: Das, Anindya Bijoy, et al.
Published: (2024)
by: Das, Anindya Bijoy, et al.
Published: (2024)
Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning
by: Kabra, Sanchit, et al.
Published: (2025)
by: Kabra, Sanchit, et al.
Published: (2025)
Intrinsic Meets Extrinsic Fairness: Assessing the Downstream Impact of Bias Mitigation in Large Language Models
by: Arzaghi', 'Mina, et al.
Published: (2025)
by: Arzaghi', 'Mina, et al.
Published: (2025)
FairTree: Subgroup Fairness Auditing of Machine Learning Models with Bias-Variance Decomposition
by: Debelak, Rudolf
Published: (2026)
by: Debelak, Rudolf
Published: (2026)
Using Machine Bias To Measure Human Bias
by: Dong, Wanxue, et al.
Published: (2024)
by: Dong, Wanxue, et al.
Published: (2024)
Bias Similarity Measurement: A Black-Box Audit of Fairness Across LLMs
by: Jeong, Hyejun, et al.
Published: (2024)
by: Jeong, Hyejun, et al.
Published: (2024)
Post-hoc Bias Scoring Is Optimal For Fair Classification
by: Chen, Wenlong, et al.
Published: (2023)
by: Chen, Wenlong, et al.
Published: (2023)
Counterfactual Fairness through Transforming Data Orthogonal to Bias
by: Chen, Shuyi, et al.
Published: (2024)
by: Chen, Shuyi, et al.
Published: (2024)
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
by: Xu, Yuancheng, et al.
Published: (2023)
by: Xu, Yuancheng, et al.
Published: (2023)
TV-SurvCaus: Dynamic Representation Balancing for Causal Survival Analysis
by: Abraich, Ayoub
Published: (2025)
by: Abraich, Ayoub
Published: (2025)
Similar Items
-
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) -
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables
by: Binkyte, Ruta, et al.
Published: (2023) -
Interactional Fairness in LLM Multi-Agent Systems: An Evaluation Framework
by: Binkyte, Ruta
Published: (2025) -
On the Impact of Multi-dimensional Local Differential Privacy on Fairness
by: Makhlouf, Karima, et al.
Published: (2023) -
Fair Representation in Parliamentary Summaries: Measuring and Mitigating Inclusion Bias
by: Cunningham, Eoghan, et al.
Published: (2025)