Mapping the Potential of Explainable AI for Fairness Along the AI
Lifecycle

Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle

29 April 2024

Astrid Schomacker

Jakob Schöffer

Niklas Kühl

Papers citing "Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle"

5 / 5 papers shown

Title
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 25 45 0 23 Sep 2022
Some Critical and Ethical Perspectives on the Empirical Turn of AI Interpretability Jean-Marie John-Mathews 32 33 0 20 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 43 411 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 286 4,143 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016