Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature

22 March 2021

Papers citing "Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature"

9 / 9 papers shown

Title
Personalized Help for Optimizing Low-Skilled Users' Strategy Feng Gu Wichayaporn Wongkamjan Jordan Lee Boyd-Graber Jonathan K. Kummerfeld Denis Peskoff Jonathan May 36 0 0 14 Nov 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 48 4 0 29 Apr 2024
Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies Vincent Freiberger Erik Buchmann AILaw 38 5 0 12 Mar 2024
Mysterious and Manipulative Black Boxes: A Qualitative Analysis of Perceptions on Recommender Systems Jukka Ruohonen 24 5 0 20 Feb 2023
Artificial intelligence in government: Concepts, standards, and a unified framework Vince J. Straub Deborah Morgan Jonathan Bright Helen Z. Margetts AI4TS 38 32 0 31 Oct 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 55 46 0 23 Sep 2022
Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making Jianlong Zhou Sunny Verma Mudit Mittal Fang Chen FaML 21 9 0 29 Sep 2021
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness Nina Grgic-Hlaca Gabriel Lima Adrian Weller Elissa M. Redmiles FaML 31 38 0 02 May 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016