Imagen de Portada

Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Papanikou, Vasiliki, Karidi, Danae Pla, Pitoura, Evaggelia, Panagiotou, Emmanouil, Ntoutsi, Eirini
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

On Explaining Unfairness: An Overview
por: Fragkathoulas, Christos, et al.
Publicado: (2024)

Path-based summary explanations for graph recommenders (extended version)
por: Karidi, Danae Pla, et al.
Publicado: (2024)

TACENR: Task-Agnostic Contrastive Explanations for Node Representations
por: Papanikou, Vasiliki, et al.
Publicado: (2026)

FACEGroup: Feasible and Actionable Counterfactual Explanations for Group Fairness
por: Fragkathoulas, Christos, et al.
Publicado: (2024)

Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study
por: Panagiotou, Emmanouil, et al.
Publicado: (2024)

TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE
por: Panagiotou, Emmanouil, et al.
Publicado: (2024)

EmeraldMind: A Knowledge Graph-Augmented Framework for Greenwashing Detection
por: Kaoukis, Georgios, et al.
Publicado: (2025)

Health Misinformation in Social Networks: A Survey of IT Approaches
por: Papanikou, Vasiliki, et al.
Publicado: (2024)

TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees
por: Panagiotou, Emmanouil, et al.
Publicado: (2025)

GALACTIC: Global and Local Agnostic Counterfactuals for Time-series Clustering
por: Fragkathoulas, Christos, et al.
Publicado: (2026)

MMM-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offs
por: Swati, Swati, et al.
Publicado: (2025)

Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering
por: Ghodsi, Siamak, et al.
Publicado: (2024)

UGCE: User-Guided Incremental Counterfactual Exploration
por: Fragkathoulas, Christos, et al.
Publicado: (2025)

Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure
por: Elobaid, Alaa, et al.
Publicado: (2024)

Adversarial Robustness of VAEs across Intersectional Subgroups
por: Ramanaik, Chethan Krishnamurthy, et al.
Publicado: (2024)

A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective
por: Ghodsi, Siamak, et al.
Publicado: (2025)

Unifying Post-hoc Explanations of Knowledge Graph Completions
por: Lonardi, Alessandro, et al.
Publicado: (2025)

Post-hoc Reward Calibration: A Case Study on Length Bias
por: Huang, Zeyu, et al.
Publicado: (2024)

Achieving Hilbert-Schmidt Independence Under Rényi Differential Privacy for Fair and Private Data Generation
por: Hyrup, Tobias, et al.
Publicado: (2025)

Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods
por: Dhaini, Mahdi, et al.
Publicado: (2025)

Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations
por: Chugh, Sumedha, et al.
Publicado: (2026)

Forms of Understanding for XAI-Explanations
por: Buschmeier, Hendrik, et al.
Publicado: (2023)

Fuzzy Logic Function as a Post-hoc Explanator of the Nonlinear Classifier
por: Klimo, Martin, et al.
Publicado: (2024)

How Reliable and Stable are Explanations of XAI Methods?
por: Ribeiro, José, et al.
Publicado: (2024)

Counterfactual Explanations for k-means and Gaussian Clustering
por: Vardakas, Georgios, et al.
Publicado: (2025)

Evaluating Explainability in Safety-Critical ATR Systems: Limitations of Post-Hoc Methods and Paths Toward Robust XAI
por: Buhrmester, Vanessa, et al.
Publicado: (2026)

FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning
por: Roy, Arjun, et al.
Publicado: (2023)

Emerging Security Challenges of Large Language Models
por: Debar, Herve, et al.
Publicado: (2024)

GRILL: Restoring Gradient Signal in Ill-Conditioned Layers for More Effective Adversarial Attacks on Autoencoders
por: Ramanaik, Chethan Krishnamurthy, et al.
Publicado: (2025)

Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems
por: Le, Ngoc Luyen, et al.
Publicado: (2024)

Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference
por: Zhai, Xuehao, et al.
Publicado: (2024)

When Bias Backfires: The Modulatory Role of Counterfactual Explanations on the Adoption of Algorithmic Bias in XAI-Supported Human Decision-Making
por: Kuhl, Ulrike, et al.
Publicado: (2025)

PXGen: A Post-hoc Explainable Method for Generative Models
por: Huang, Yen-Lung, et al.
Publicado: (2025)

On the Hardness of Computing Counterfactual and Semifactual Explanations in XAI
por: Artelt, André, et al.
Publicado: (2026)

SAIL: Structure-Aware Interpretable Learning for Anatomy-Aligned Post-hoc Explanations in OCT
por: Chang, Tienyu, et al.
Publicado: (2026)

In Defence of Post-hoc Explainability
por: Oh, Nick
Publicado: (2024)

A Two-Stage LLM Framework for Accessible and Verified XAI Explanations
por: Mermigkis, Georgios, et al.
Publicado: (2026)

Explaining Black-box Language Models with Knowledge Probing Systems: A Post-hoc Explanation Perspective
por: Zhao, Yunxiao, et al.
Publicado: (2025)

xai_evals : A Framework for Evaluating Post-Hoc Local Explanation Methods
por: Seth, Pratinav, et al.
Publicado: (2025)

Should XAI Nudge Human Decisions with Explanation Biasing?
por: Fukuchi, Yosuke, et al.
Publicado: (2024)