How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness

8 November 2018

Papers citing "How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness"

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Title
Designing Fair AI for Managing Employees in Organizations: A Review, Critique, and Design Agenda L. Robert Casey S. Pierce Liz Morris Sangmi Kim Rasha Alahmad 8 141 0 20 Feb 2020
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness Mohammad Yaghini A. Krause Hoda Heidari FaML 11 21 0 08 Nov 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 344 4,237 0 23 Aug 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 39 741 0 19 Jun 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016