A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making

29 April 2022

Papers citing "A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making"

5 / 5 papers shown

Title
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI Upol Ehsan Mark O. Riedl XAI SILM 51 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 25 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 53 415 0 15 Feb 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016