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Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and
  Successes in the XAI Program

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
ArXiv (abs)PDFHTML

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
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
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
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
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
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
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
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
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
Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications
Tom Hickling
Abdelhafid Zenati
Nabil Aouf
P. Spencer
XAIAI4TS
94
25
0
05 Jul 2022
HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning
HEX: Human-in-the-loop Explainability via Deep Reinforcement Learning
Michael T. Lash
88
0
0
02 Jun 2022
1