How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey

21 March 2024

Papers citing "How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey"

5 / 5 papers shown

Title
LLMs for Explainable AI: A Comprehensive Survey Ahsan Bilal David Ebert Beiyu Lin 72 1 0 31 Mar 2025
TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting Hongnan Ma Kevin McAreavey Weiru Liu AI4TS FAtt 16 0 0 24 Sep 2024
Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens Maia L. Jacobs Jeffrey He Melanie F. Pradier Barbara D. Lam Andrew C Ahn T. McCoy R. Perlis Finale Doshi-Velez Krzysztof Z. Gajos 49 144 0 01 Feb 2021
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations Sérgio Jesus Catarina Belém Vladimir Balayan João Bento Pedro Saleiro P. Bizarro João Gama 136 119 0 21 Jan 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017