An Evaluation of the Human-Interpretability of Explanation

31 January 2019

Finale Doshi-Velez

Papers citing "An Evaluation of the Human-Interpretability of Explanation"

23 / 23 papers shown

Title
Reasoning Models Don't Always Say What They Think Yanda Chen Joe Benton Ansh Radhakrishnan Jonathan Uesato Carson E. Denison ... Vlad Mikulik Samuel R. Bowman Jan Leike Jared Kaplan E. Perez ReLM LRM 68 15 1 08 May 2025
What Sketch Explainability Really Means for Downstream Tasks Hmrishav Bandyopadhyay Pinaki Nath Chowdhury A. Bhunia Aneeshan Sain Tao Xiang Yi-Zhe Song 30 4 0 14 Mar 2024
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 26 56 0 10 Apr 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents Yotam Amitai Guy Avni Ofra Amir 45 3 0 24 Jan 2023
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ Eoin Delaney A. Pakrashi Derek Greene Markt. Keane 35 16 0 16 Dec 2022
The Influence of Explainable Artificial Intelligence: Nudging Behaviour or Boosting Capability? Matija Franklin TDI 23 1 0 05 Oct 2022
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations Mandeep Rathee Thorben Funke Avishek Anand Megha Khosla 44 15 0 28 Jun 2022
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
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 19 1 0 30 Jan 2022
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies Vivian Lai Chacha Chen Q. V. Liao Alison Smith-Renner Chenhao Tan 33 186 0 21 Dec 2021
Explaining Reward Functions to Humans for Better Human-Robot Collaboration Lindsay M. Sanneman J. Shah 13 5 0 08 Oct 2021
An Exploration And Validation of Visual Factors in Understanding Classification Rule Sets Jun Yuan O. Nov E. Bertini 20 10 0 19 Sep 2021
Trusting RoBERTa over BERT: Insights from CheckListing the Natural Language Inference Task Ishan Tarunesh Somak Aditya Monojit Choudhury 15 17 0 15 Jul 2021
The Impact of Explanations on AI Competency Prediction in VQA Kamran Alipour Arijit Ray Xiaoyu Lin J. Schulze Yi Yao Giedrius Burachas 27 9 0 02 Jul 2020
Does Explainable Artificial Intelligence Improve Human Decision-Making? Y. Alufaisan L. Marusich J. Bakdash Yan Zhou Murat Kantarcioglu XAI 22 94 0 19 Jun 2020
Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making Harini Suresh Natalie Lao Ilaria Liccardi 16 49 0 22 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 41 371 0 30 Apr 2020
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data B. Shickel Parisa Rashidi AI4TS 33 17 0 27 Apr 2020
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? Alon Jacovi Yoav Goldberg XAI 28 567 0 07 Apr 2020
The Pragmatic Turn in Explainable Artificial Intelligence (XAI) Andrés Páez 27 190 0 22 Feb 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 24 337 0 14 Feb 2020
Towards Explainable Artificial Intelligence Wojciech Samek K. Müller XAI 32 436 0 26 Sep 2019
A Human-Grounded Evaluation of SHAP for Alert Processing Hilde J. P. Weerts Werner van Ipenburg Mykola Pechenizkiy FAtt 11 70 0 07 Jul 2019