Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems

25 January 2023

Papers citing "Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems"

14 / 14 papers shown

Title
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest Jakob Schoeffer Maria De-Arteaga Jonathan Elmer 436 0 0 05 Apr 2025
Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages Shreyan Biswas Alexander Erlei U. Gadiraju 164 4 0 13 Feb 2025
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills Zana Buçinca S. Swaroop Amanda E. Paluch Finale Doshi-Velez Krzysztof Z. Gajos 95 3 0 05 Oct 2024
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making Shuai Ma Qiaoyi Chen Xinru Wang Chengbo Zheng Zhenhui Peng Ming Yin Xiaojuan Ma ELM 112 24 0 25 Mar 2024
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning Fangzhi Xu Jun Liu Qika Lin Yudai Pan Lingling Zhang 86 25 0 02 May 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 105 189 0 21 Dec 2021
The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies Riccardo Fogliato Alexandra Chouldechova Zachary Chase Lipton 66 31 0 03 Sep 2021
To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making Zana Buçinca M. Malaya Krzysztof Z. Gajos 65 315 0 19 Feb 2021
Algorithmic Risk Assessments Can Alter Human Decision-Making Processes in High-Stakes Government Contexts Ben Green Yiling Chen 35 61 0 09 Dec 2020
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Tulio Ribeiro Daniel S. Weld 89 599 0 26 Jun 2020
Making deep neural networks right for the right scientific reasons by interacting with their explanations P. Schramowski Wolfgang Stammer Stefano Teso Anna Brugger Xiaoting Shao Hans-Georg Luigs Anne-Katrin Mahlein Kristian Kersting 120 213 0 15 Jan 2020
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans Vivian Lai Han Liu Chenhao Tan 81 143 0 14 Jan 2020
Metrics for Explainable AI: Challenges and Prospects R. Hoffman Shane T. Mueller Gary Klein Jordan Litman XAI 88 730 0 11 Dec 2018
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection Vivian Lai Chenhao Tan 78 380 0 19 Nov 2018