Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI

14 June 2021

Papers citing "Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI"

6 / 6 papers shown

Title
Beyond XAI:Obstacles Towards Responsible AI Yulu Pi 42 2 0 07 Sep 2023
Fairness Explainability using Optimal Transport with Applications in Image Classification Philipp Ratz Franccois Hu Arthur Charpentier 23 0 0 22 Aug 2023
Towards a Praxis for Intercultural Ethics in Explainable AI Chinasa T. Okolo 39 3 0 24 Apr 2023
Explainable Global Fairness Verification of Tree-Based Classifiers Stefano Calzavara Lorenzo Cazzaro Claudio Lucchese Federico Marcuzzi 38 2 0 27 Sep 2022
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models Esma Balkir S. Kiritchenko I. Nejadgholi Kathleen C. Fraser 21 36 0 08 Jun 2022
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 743 0 13 Dec 2018