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Machine Explanations and Human Understanding
v1v2v3 (latest)

Machine Explanations and Human Understanding

8 February 2022
Chacha Chen
Shi Feng
Amit Sharma
Chenhao Tan
ArXiv (abs)PDFHTML

Papers citing "Machine Explanations and Human Understanding"

9 / 9 papers shown
Title
Evaluating Model Explanations without Ground Truth
Evaluating Model Explanations without Ground Truth
Kaivalya Rawal
Zihao Fu
Eoin Delaney
Chris Russell
FAttXAI
137
0
0
15 May 2025
Transferring Domain Knowledge with (X)AI-Based Learning Systems
Transferring Domain Knowledge with (X)AI-Based Learning Systems
Philipp Spitzer
Niklas Kühl
Marc Goutier
Manuel Kaschura
G. Satzger
74
2
0
03 Jun 2024
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained
  Image Classification Accuracy for AIs and Humans
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans
Giang Nguyen
Valerie Chen
Mohammad Reza Taesiri
Anh Totti Nguyen
74
4
0
25 Aug 2023
Human-Aligned Calibration for AI-Assisted Decision Making
Human-Aligned Calibration for AI-Assisted Decision Making
N. C. Benz
Manuel Gomez Rodriguez
66
19
0
31 May 2023
Why is plausibility surprisingly problematic as an XAI criterion?
Why is plausibility surprisingly problematic as an XAI criterion?
Weina Jin
Xiaoxiao Li
Ghassan Hamarneh
89
5
0
30 Mar 2023
Understanding the Role of Human Intuition on Reliance in Human-AI
  Decision-Making with Explanations
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen
Q. V. Liao
Jennifer Wortman Vaughan
Gagan Bansal
149
112
0
18 Jan 2023
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
267
197
0
03 Feb 2022
Explainability Is in the Mind of the Beholder: Establishing the
  Foundations of Explainable Artificial Intelligence
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence
Kacper Sokol
Peter A. Flach
78
21
0
29 Dec 2021
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
17,164
0
16 Feb 2016
1