An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development

23 December 2023

Papers citing "An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development"

8 / 8 papers shown

Title
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality Emre Kıcıman Robert Osazuwa Ness Amit Sharma Chenhao Tan LRM ELM 95 276 0 28 Apr 2023
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias Bhavya Ghai Klaus Mueller 56 40 0 10 Aug 2022
A Survey on Extraction of Causal Relations from Natural Language Text Jie Yang S. Han Josiah Poon 3DV CML 117 87 0 16 Jan 2021
Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making Md. Naimul Hoque Klaus Mueller CML 74 30 0 03 Jan 2021
A Visual Analytics Approach for Exploratory Causal Analysis: Exploration, Validation, and Applications Xiao Xie F. Du Yingcai Wu CML 48 36 0 05 Sep 2020
Visual Causality Analysis of Event Sequence Data Zhuochen Jin Shunan Guo Nan Chen Daniel Weiskopf David Gotz Nan Cao CML 38 44 0 01 Sep 2020
Illusion of Causality in Visualized Data Cindy Xiong Joel K Shapiro Jessica Hullman Steven Franconeri 38 58 0 01 Aug 2019
An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference Y. Shimoni Ehud Karavani Sivan Ravid Peter Bak Tan Hung Marie Ng S. Alford D. Meade Yaara Goldschmidt ELM CML 38 38 0 02 Jun 2019