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

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"

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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 86 0 0 02 Jun 2022

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