Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem

24 June 2023

Papers citing "Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem"

4 / 4 papers shown

Title
GraphXAIN: Narratives to Explain Graph Neural Networks Mateusz Cedro David Martens 47 0 0 04 Nov 2024
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse Seung Hyun Cheon Anneke Wernerfelt Sorelle A. Friedler Berk Ustun FaML FAtt 45 0 0 29 Oct 2024
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 177 185 0 03 Feb 2022
On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf FaML 80 82 0 13 Oct 2020