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Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
23 September 2022
Jakob Schoeffer
Maria De-Arteaga
Niklas Kuehl
FaML
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Papers citing
"Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making"
10 / 10 papers shown
Title
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods
Mahdi Dhaini
Ege Erdogan
Nils Feldhus
Gjergji Kasneci
34
0
0
02 May 2025
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest
Jakob Schoeffer
Maria De-Arteaga
Jonathan Elmer
44
0
0
05 Apr 2025
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
Luca Deck
Astrid Schomacker
Timo Speith
Jakob Schöffer
Lena Kästner
Niklas Kühl
21
4
0
29 Apr 2024
"I Want It That Way": Enabling Interactive Decision Support Using Large Language Models and Constraint Programming
Connor Lawless
Jakob Schoeffer
Lindy Le
Kael Rowan
Shilad Sen
Cristina St. Hill
Jina Suh
Bahar Sarrafzadeh
33
8
0
12 Dec 2023
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations
Max Schemmer
Niklas Kühl
Carina Benz
Andrea Bartos
G. Satzger
9
94
0
04 Feb 2023
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
Upol Ehsan
Mark O. Riedl
XAI
SILM
49
56
0
26 Sep 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research
Markus Langer
Daniel Oster
Timo Speith
Holger Hermanns
Lena Kästner
Eva Schmidt
Andreas Sesing
Kevin Baum
XAI
37
411
0
15 Feb 2021
An Analysis of LIME for Text Data
Dina Mardaoui
Damien Garreau
FAtt
120
45
0
23 Oct 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI
Alon Jacovi
Ana Marasović
Tim Miller
Yoav Goldberg
241
417
0
15 Oct 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
185
2,079
0
24 Oct 2016
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