"There Is Not Enough Information": On the Effects of Explanations on
Perceptions of Informational Fairness and Trustworthiness in Automated
Decision-Making

"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making

11 May 2022

Jakob Schoeffer

Yvette Machowski

Papers citing ""There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making"

14 / 14 papers shown

Title
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 41 4 0 29 Apr 2024
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap Tianqi Kou 44 0 0 19 Apr 2024
Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies Vincent Freiberger Erik Buchmann AILaw 32 5 0 12 Mar 2024
Retrospective End-User Walkthrough: A Method for Assessing How People Combine Multiple AI Models in Decision-Making Systems Vagner Figuerêdo de Santana Larissa Monteiro Da Fonseca Galeno E. V. Brazil A. Heching Renato F. G. Cerqueira 21 0 0 12 May 2023
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication B. Keenan Kacper Sokol 19 7 0 07 Feb 2023
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 45 46 0 23 Sep 2022
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer Philipp Spitzer Niklas Kühl Marc Goutier 28 7 0 01 Jul 2022
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making Jakob Schoeffer FaML 28 3 0 29 Apr 2022
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI Upol Ehsan Mark O. Riedl XAI SILM 59 58 0 26 Sep 2021
Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making Jakob Schoeffer Yvette Machowski Niklas Kuehl FaML 40 14 0 13 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 65 415 0 15 Feb 2021
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 252 426 0 15 Oct 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,084 0 24 Oct 2016