When Does Uncertainty Matter?: Understanding the Impact of Predictive
Uncertainty in ML Assisted Decision Making

When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making

12 November 2020

Alexandra Zytek

Himabindu Lakkaraju

Papers citing "When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making"

9 / 9 papers shown

Title
The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Raj Sanjay Shah Sashank Varma LRM 91 0 0 22 Jan 2025
Identifying Drivers of Predictive Aleatoric Uncertainty Pascal Iversen Simon Witzke Katharina Baum Bernhard Y. Renard UD 67 2 0 12 Dec 2023
Expanding Knowledge Graphs with Humans in the Loop Emaad A. Manzoor Jordan Tong S. Vijayaraghavan Rui Li 32 3 0 10 Dec 2022
Algorithmic Assistance with Recommendation-Dependent Preferences Bryce Mclaughlin Jann Spiess 47 9 0 16 Aug 2022
Doubting AI Predictions: Influence-Driven Second Opinion Recommendation Maria De-Arteaga Alexandra Chouldechova Artur Dubrawski 33 4 0 29 Apr 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 194 186 0 03 Feb 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 33 186 0 21 Dec 2021
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions Eoin Delaney Derek Greene Mark T. Keane 27 24 0 20 Jul 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,698 0 28 Feb 2017