The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness

8 February 2021

Papers citing "The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness"

3 / 3 papers shown

Title
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness N. Saxena Karen Huang Evan DeFilippis Goran Radanović David C. Parkes Yang Liu FaML 56 178 0 08 Nov 2018
A comparative study of fairness-enhancing interventions in machine learning Sorelle A. Friedler C. Scheidegger Suresh Venkatasubramanian Sonam Choudhary Evan P. Hamilton Derek Roth FaML 96 640 0 13 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 295 2,109 0 24 Oct 2016