Manipulating and Measuring Model Interpretability

Manipulating and Measuring Model Interpretability

21 February 2018

Forough Poursabzi-Sangdeh

Jennifer Wortman Vaughan

Hanna M. Wallach

Papers citing "Manipulating and Measuring Model Interpretability"

10 / 60 papers shown

Title
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Tulio Ribeiro Daniel S. Weld 14 574 0 26 Jun 2020
Does Explainable Artificial Intelligence Improve Human Decision-Making? Y. Alufaisan L. Marusich J. Bakdash Yan Zhou Murat Kantarcioglu XAI 12 93 0 19 Jun 2020
Evaluating and Aggregating Feature-based Model Explanations Umang Bhatt Adrian Weller J. M. F. Moura XAI 28 219 0 01 May 2020
The Grammar of Interactive Explanatory Model Analysis Hubert Baniecki Dariusz Parzych P. Biecek 11 44 0 01 May 2020
CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation Dustin L. Arendt Zhuanyi Huang Prasha Shrestha Ellyn Ayton M. Glenski Svitlana Volkova 11 8 0 16 Apr 2020
Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study Ahmed Alqaraawi M. Schuessler Philipp Weiß Enrico Costanza N. Bianchi-Berthouze AAML FAtt XAI 14 197 0 03 Feb 2020
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans Vivian Lai Han Liu Chenhao Tan 8 138 0 14 Jan 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences Q. V. Liao D. Gruen Sarah Miller 35 701 0 08 Jan 2020
Learning Representations by Humans, for Humans Sophie Hilgard Nir Rosenfeld M. Banaji Jack Cao David C. Parkes OCL HAI AI4CE 26 29 0 29 May 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016