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Understanding the Effect of Out-of-distribution Examples and Interactive
  Explanations on Human-AI Decision Making

Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making

13 January 2021
Han Liu
Vivian Lai
Chenhao Tan
ArXivPDFHTML

Papers citing "Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making"

15 / 15 papers shown
Title
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Indu Panigrahi
Sunnie S. Y. Kim
Amna Liaqat
Rohan Jinturkar
Olga Russakovsky
Ruth C. Fong
Parastoo Abtahi
FAtt
HAI
57
0
0
14 Apr 2025
Personalized Help for Optimizing Low-Skilled Users' Strategy
Personalized Help for Optimizing Low-Skilled Users' Strategy
Feng Gu
Wichayaporn Wongkamjan
Jordan Boyd-Graber
Jonathan K. Kummerfeld
Denis Peskoff
Jonathan May
26
0
0
14 Nov 2024
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making
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
26
20
0
25 Mar 2024
Beyond XAI:Obstacles Towards Responsible AI
Beyond XAI:Obstacles Towards Responsible AI
Yulu Pi
32
2
0
07 Sep 2023
In Search of Verifiability: Explanations Rarely Enable Complementary
  Performance in AI-Advised Decision Making
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making
Raymond Fok
Daniel S. Weld
19
61
0
12 May 2023
Understanding the Role of Human Intuition on Reliance in Human-AI
  Decision-Making with Explanations
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen
Q. V. Liao
Jennifer Wortman Vaughan
Gagan Bansal
36
103
0
18 Jan 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
Hussein Mozannar
Hunter Lang
Dennis L. Wei
P. Sattigeri
Subhro Das
David Sontag
27
40
0
15 Jan 2023
Measuring Progress on Scalable Oversight for Large Language Models
Measuring Progress on Scalable Oversight for Large Language Models
Sam Bowman
Jeeyoon Hyun
Ethan Perez
Edwin Chen
Craig Pettit
...
Tristan Hume
Yuntao Bai
Zac Hatfield-Dodds
Benjamin Mann
Jared Kaplan
ALM
ELM
21
121
0
04 Nov 2022
Learning When to Advise Human Decision Makers
Learning When to Advise Human Decision Makers
Gali Noti
Yiling Chen
39
15
0
27 Sep 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI
  Decision-Making
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
Jakob Schoeffer
Maria De-Arteaga
Niklas Kuehl
FaML
36
45
0
23 Sep 2022
A Test for Evaluating Performance in Human-Computer Systems
A Test for Evaluating Performance in Human-Computer Systems
Andres Campero
Michelle Vaccaro
Jaeyoon Song
Haoran Wen
Abdullah Almaatouq
Thomas W. Malone
45
17
0
24 Jun 2022
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in
  Human-AI Decision-Making
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making
Max Schemmer
Patrick Hemmer
Maximilian Nitsche
Niklas Kühl
Michael Vossing
19
55
0
10 May 2022
Exploring How Anomalous Model Input and Output Alerts Affect
  Decision-Making in Healthcare
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare
Marissa Radensky
Dustin Burson
Rajya Bhaiya
Daniel S. Weld
19
0
0
27 Apr 2022
Human-AI Collaboration via Conditional Delegation: A Case Study of
  Content Moderation
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation
Vivian Lai
Samuel Carton
Rajat Bhatnagar
Vera Liao
Yunfeng Zhang
Chenhao Tan
18
129
0
25 Apr 2022
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
227
3,681
0
28 Feb 2017
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