Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts

11 May 2022

Papers citing "Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts"

6 / 6 papers shown

Title
Don't Just Translate, Agitate: Using Large Language Models as Devil's Advocates for AI Explanations Ashley Suh Kenneth Alperin Harry Li Steven R. Gomez 31 0 0 16 Apr 2025
Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans Ashley Suh Isabelle Hurley Nora Smith H. Siu 44 1 0 13 Mar 2025
DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer A. Wentzel Serageldin Attia Xinhua Zhang G. Canahuate Clifton Fuller G. Marai 41 3 0 18 Jul 2024
Agnostic Visual Recommendation Systems: Open Challenges and Future Directions L. Podo Bardh Prenkaj Paola Velardi 32 5 0 01 Feb 2023
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs Harini Suresh Kathleen M. Lewis John Guttag Arvind Satyanarayan FAtt 40 25 0 17 Feb 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,684 0 28 Feb 2017