How can I choose an explainer? An Application-grounded Evaluation of
Post-hoc Explanations

How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations

21 January 2021

Catarina Belém

Vladimir Balayan

Papers citing "How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations"

15 / 15 papers shown

Title
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Mahdi Dhaini Ege Erdogan Nils Feldhus Gjergji Kasneci 41 0 0 02 May 2025
In defence of post-hoc explanations in medical AI Joshua Hatherley Lauritz Munch Jens Christian Bjerring 32 0 0 29 Apr 2025
Explainable AI needs formal notions of explanation correctness Stefan Haufe Rick Wilming Benedict Clark Rustam Zhumagambetov Danny Panknin Ahcène Boubekki XAI 26 0 0 22 Sep 2024
Need of AI in Modern Education: in the Eyes of Explainable AI (xAI) Supriya Manna Dionis Barcari 37 3 0 31 Jul 2024
Deep Natural Language Feature Learning for Interpretable Prediction Felipe Urrutia Cristian Buc Valentin Barriere 23 1 0 09 Nov 2023
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making Raymond Fok Daniel S. Weld 19 61 0 12 May 2023
Towards a Praxis for Intercultural Ethics in Explainable AI Chinasa T. Okolo 31 3 0 24 Apr 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK L. Nannini Agathe Balayn A. Smith 11 37 0 20 Apr 2023
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers Ayush Khot Mark S. Neubauer Avik Roy AAML 28 16 0 09 Oct 2022
A Test for Evaluating Performance in Human-Computer Systems Andres Campero Michelle Vaccaro Jaeyoon Song Haoran Wen Abdullah Almaatouq Thomas W. Malone 45 17 0 24 Jun 2022
Use-Case-Grounded Simulations for Explanation Evaluation Valerie Chen Nari Johnson Nicholay Topin Gregory Plumb Ameet Talwalkar FAtt ELM 20 24 0 05 Jun 2022
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs Harini Suresh Kathleen M. Lewis John Guttag Arvind Satyanarayan FAtt 32 25 0 17 Feb 2021
The Grammar of Interactive Explanatory Model Analysis Hubert Baniecki Dariusz Parzych P. Biecek 16 44 0 01 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 29 371 0 30 Apr 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 227 3,681 0 28 Feb 2017