A Critical Survey on Fairness Benefits of Explainable AI

A Critical Survey on Fairness Benefits of Explainable AI

15 October 2023

Jakob Schoeffer

Maria De-Arteaga

Niklas Kühl

Papers citing "A Critical Survey on Fairness Benefits of Explainable AI"

11 / 11 papers shown

Title
SHAP-based Explanations are Sensitive to Feature Representation Hyunseung Hwang Andrew Bell João Fonseca Venetia Pliatsika Julia Stoyanovich Steven Euijong Whang TDI FAtt 32 0 0 13 May 2025
Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration Vasiliki Papanikou Danae Pla Karidi E. Pitoura Emmanouil Panagiotou Eirini Ntoutsi 31 0 0 01 May 2025
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness Luca Deck Jan-Laurin Müller Conradin Braun Domenique Zipperling Niklas Kühl FaML 33 5 0 29 Mar 2024
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 43 46 0 23 Sep 2022
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations Jessica Dai Sohini Upadhyay Ulrich Aivodji Stephen H. Bach Himabindu Lakkaraju 40 56 0 15 May 2022
Some Critical and Ethical Perspectives on the Empirical Turn of AI Interpretability Jean-Marie John-Mathews 42 33 0 20 Sep 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 52 94 0 01 Jul 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 62 416 0 15 Feb 2021
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction Caroline Linjun Wang Bin Han Bhrij Patel Cynthia Rudin FaML HAI 59 84 0 08 May 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016