A review of possible effects of cognitive biases on the interpretation of rule-based machine learning models

9 April 2018

Papers citing "A review of possible effects of cognitive biases on the interpretation of rule-based machine learning models"

7 / 7 papers shown

Title
T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation Xuyang Guo Jiayan Huo Zhenmei Shi Zhao Song Jiahao Zhang Jiale Zhao EGVM VGen PINN 84 1 0 01 May 2025
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments M. Domnich Julius Valja Rasmus Moorits Veski Giacomo Magnifico Kadi Tulver Eduard Barbu Raul Vicente LRM ELM 48 4 0 28 Oct 2024
Explaining Predictions by Characteristic Rules Amr Alkhatib Henrik Bostrom Michalis Vazirgiannis 40 5 0 31 May 2024
BIASeD: Bringing Irrationality into Automated System Design Aditya Gulati M. Lozano Bruno Lepri Nuria Oliver 47 7 0 01 Oct 2022
Interpretable Learned Emergent Communication for Human-Agent Teams Seth Karten Mycal Tucker Huao Li Siva Kailas Michael Lewis Katia Sycara AI4CE 25 10 0 19 Jan 2022
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making Charvi Rastogi Yunfeng Zhang Dennis L. Wei Kush R. Varshney Amit Dhurandhar Richard J. Tomsett HAI 32 109 0 15 Oct 2020
The Pragmatic Turn in Explainable Artificial Intelligence (XAI) Andrés Páez 27 191 0 22 Feb 2020