Measure Utility, Gain Trust: Practical Advice for XAI Researcher

27 September 2020

Papers citing "Measure Utility, Gain Trust: Practical Advice for XAI Researcher"

6 / 6 papers shown

Title
Human-centered trust framework: An HCI perspective Sonia C. Sousa J. Cravino Paulo Martins D. Lamas 21 6 0 05 May 2023
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study L. Herm 21 22 0 18 Apr 2023
Use-Case-Grounded Simulations for Explanation Evaluation Valerie Chen Nari Johnson Nicholay Topin Gregory Plumb Ameet Talwalkar FAtt ELM 22 24 0 05 Jun 2022
Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts Ashley Suh G. Appleby Erik W. Anderson Luca A. Finelli Remco Chang Dylan Cashman 35 8 0 11 May 2022
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning Ulrike Kuhl André Artelt Barbara Hammer 38 18 0 06 May 2022
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,090 0 24 Oct 2016