On the Impact of Explanations on Understanding of Algorithmic
Decision-Making

On the Impact of Explanations on Understanding of Algorithmic Decision-Making

16 February 2023

Timothée Schmude

Laura M. Koesten

Sebastian Tschiatschek

Papers citing "On the Impact of Explanations on Understanding of Algorithmic Decision-Making"

14 / 14 papers shown

Title
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences Anna Kawakami Luke M. Guerdan Yang Cheng Anita Sun Alison Hu ... Nikos Arechiga Matthew H. Lee Scott A. Carter Haiyi Zhu Kenneth Holstein 60 10 0 11 Dec 2022
How Different Groups Prioritize Ethical Values for Responsible AI Maurice Jakesch Zana Buçinca Saleema Amershi Alexandra Olteanu 68 98 0 16 May 2022
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory Harmanpreet Kaur Eytan Adar Eric Gilbert Cliff Lampe 47 59 0 10 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 69 78 0 06 May 2022
Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature C. Starke Janine Baleis Birte Keller Frank Marcinkowski FaML 58 149 0 22 Mar 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 118 425 0 15 Feb 2021
Questioning the AI: Informing Design Practices for Explainable AI User Experiences Q. V. Liao D. Gruen Sarah Miller 119 716 0 08 Jan 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 118 6,266 0 22 Oct 2019
Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment Jonathan Dodge Q. V. Liao Yunfeng Zhang Rachel K. E. Bellamy Casey Dugan FaML 52 127 0 23 Jan 2019
Data is Personal: Attitudes and Perceptions of Data Visualization in Rural Pennsylvania Evan M. Peck Sofia E. Ayuso Omar El-Etr 43 143 0 07 Jan 2019
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making Michael Veale Max Van Kleek Reuben Binns 51 421 0 03 Feb 2018
Ít's Reducing a Human Being to a Percentage'; Perceptions of Justice in Algorithmic Decisions Reuben Binns Max Van Kleek Michael Veale Ulrik Lyngs Jun Zhao N. Shadbolt FaML 56 538 0 31 Jan 2018
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 242 4,265 0 22 Jun 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 300 2,110 0 24 Oct 2016