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Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program
10 June 2021
Jeff Druce
J. Niehaus
Vanessa Moody
David D. Jensen
Michael L. Littman
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Papers citing
"Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program"
10 / 10 papers shown
Title
Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications
Riley Simmons-Edler
Jean Dong
Paul Lushenko
K. Rajan
R. Badman
48
0
0
23 May 2025
Gradient-Optimized Fuzzy Classifier: A Benchmark Study Against State-of-the-Art Models
Magnus Sieverding
Nathan Steffen
Kelly Cohen
48
0
0
22 Apr 2025
Incremental XAI: Memorable Understanding of AI with Incremental Explanations
Jessica Y. Bo
Pan Hao
Brian Y Lim
CLL
59
8
0
10 Apr 2024
Automating Governing Knowledge Commons and Contextual Integrity (GKC-CI) Privacy Policy Annotations with Large Language Models
Jake Chanenson
Madison Pickering
Noah J. Apthorpe
34
1
0
03 Nov 2023
Capturing Humans' Mental Models of AI: An Item Response Theory Approach
Markelle Kelly
Aakriti Kumar
Padhraic Smyth
M. Steyvers
64
15
0
15 May 2023
Assessing Trustworthiness of Autonomous Systems
Greg Chance
Dhaminda B. Abeywickrama
Beckett LeClair
Owen Kerr
Kerstin Eder
62
5
0
05 May 2023
Explanations Can Reduce Overreliance on AI Systems During Decision-Making
Helena Vasconcelos
Matthew Jörke
Madeleine Grunde-McLaughlin
Tobias Gerstenberg
Michael S. Bernstein
Ranjay Krishna
74
181
0
13 Dec 2022
Taking the Intentional Stance Seriously, or "Intending" to Improve Cognitive Systems
Will Bridewell
40
0
0
21 Sep 2022
Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications
Tom Hickling
Abdelhafid Zenati
Nabil Aouf
P. Spencer
XAI
AI4TS
94
25
0
05 Jul 2022
HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning
Michael T. Lash
88
0
0
02 Jun 2022
1